file_name stringlengths 31 31 | im_path stringlengths 46 46 | caption stringlengths 2 104 | bbox stringlengths 21 45 | prompt stringlengths 2.03k 2.52k | texts stringlengths 2 61 | sentence stringlengths 42 524 | outp_org listlengths 4 4 | formatted_sentence stringlengths 37 71 | modified_sentence stringlengths 38 518 | target listlengths 4 4 |
|---|---|---|---|---|---|---|---|---|---|---|
COCO_train2014_000000536244.jpg | refcoco_images/COCO_train2014_000000536244.jpg | on board | [,51.18,149.38,201.52,352.96] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected at location [51, 150, 201, 352]
Select the coordinates for the target object based on this Caption:'on board'
Caption: 'on board'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| [] | Detected on board at location [51, 150, 201, 352]
| [
51,
150,
201,
352
] | Detected at location [51, 150, 201, 352] | Detected at location [51, 150, 201, 352] | [
51,
150,
201,
352
] |
COCO_train2014_000000580695.jpg | refcoco_images/COCO_train2014_000000580695.jpg | right girl | [263.24,,60.27,509.96,588.89] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Girl at location [264, 59, 511, 587]
Detected Girl at location [100, 8, 289, 571]
Detected girl at location [264, 61, 509, 588]
Select the coordinates for the target object based on this Caption:'right girl'
Caption: 'right girl'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Girl'] | Detected Girl at location [264, 59, 511, 587]
Detected Girl at location [100, 8, 289, 571]
Detected right girl at location [264, 61, 509, 588]
| [
264,
61,
509,
588
] | Detected girl at location [264, 61, 509, 588] | Detected Girl at location [264, 59, 511, 587]
Detected Girl at location [100, 8, 289, 571]
Detected girl at location [264, 61, 509, 588] | [
264,
61,
509,
588
] |
COCO_train2014_000000523870.jpg | refcoco_images/COCO_train2014_000000523870.jpg | the yellow box on the left | [230.69,,24.48,344.62,157.24] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Yellow box at location [395, 28, 517, 154]
Detected Yellow box at location [228, 25, 346, 151]
Detected yellow box at location [231, 24, 345, 153]
Select the coordinates for the target object based on this Caption:'the yellow box on the left'
Caption: 'the yellow box on the left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Yellow box'] | Detected Yellow box at location [395, 28, 517, 154]
Detected Yellow box at location [228, 25, 346, 151]
Detected the yellow box on the left at location [231, 24, 345, 153]
| [
231,
24,
345,
153
] | Detected yellow box at location [231, 24, 345, 153] | Detected Yellow box at location [395, 28, 517, 154]
Detected Yellow box at location [228, 25, 346, 151]
Detected yellow box at location [231, 24, 345, 153] | [
231,
24,
345,
153
] |
COCO_train2014_000000573807.jpg | refcoco_images/COCO_train2014_000000573807.jpg | truck on right | [501.3,,149.69,615.65,301.53] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Truck at location [499, 149, 618, 303]
Detected truck at location [501, 150, 615, 302]
Select the coordinates for the target object based on this Caption:'truck on right'
Caption: 'truck on right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Truck'] | Detected Truck at location [499, 149, 618, 303]
Detected truck on right at location [501, 150, 615, 302]
| [
501,
150,
615,
302
] | Detected truck at location [501, 150, 615, 302] | Detected Truck at location [499, 149, 618, 303]
Detected truck at location [501, 150, 615, 302] | [
501,
150,
615,
302
] |
COCO_train2014_000000561643.jpg | refcoco_images/COCO_train2014_000000561643.jpg | person in black, back facing us | [288.,,,269.48,395.87,469.03] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Person at location [397, 254, 576, 479]
Detected Person at location [141, 256, 289, 479]
Detected Person at location [288, 269, 405, 469]
Detected Person at location [313, 228, 400, 319]
Detected person in black at location [289, 270, 405, 468]
Select the coordinates for the target object based on this Caption:'person in black, back facing us'
Caption: 'person in black, back facing us'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Person', 'Black'] | Detected Person at location [397, 254, 576, 479]
Detected Person at location [141, 256, 289, 479]
Detected Person at location [288, 269, 405, 469]
Detected Person at location [313, 228, 400, 319]
Detected person in black, back facing us at location [289, 270, 405, 468]
| [
289,
270,
405,
468
] | Detected person in black at location [289, 270, 405, 468] | Detected Person at location [397, 254, 576, 479]
Detected Person at location [141, 256, 289, 479]
Detected Person at location [288, 269, 405, 469]
Detected Person at location [313, 228, 400, 319]
Detected person in black at location [289, 270, 405, 468] | [
289,
270,
405,
468
] |
COCO_train2014_000000578070.jpg | refcoco_images/COCO_train2014_000000578070.jpg | GIRL IN FRONT BLUE SHIRT AND HAT | [254.43,413.96,358.95,605.12] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Girl at location [257, 420, 356, 611]
Detected Blue shirt at location [257, 488, 355, 611]
Detected Hat at location [264, 420, 328, 473]
Select the coordinates for the target object based on this Caption:'GIRL IN FRONT BLUE SHIRT AND HAT'
Caption: 'GIRL IN FRONT BLUE SHIRT AND HAT'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Girl', 'Blue shirt', 'Hat'] | Detected Girl at location [257, 420, 356, 611]
Detected Blue shirt at location [257, 488, 355, 611]
Detected Hat at location [264, 420, 328, 473]
| [
264,
420,
328,
473
] | Detected Hat at location [264, 420, 328, 473] | Detected Girl at location [257, 420, 356, 611]
Detected Blue shirt at location [257, 488, 355, 611]
Detected Hat at location [264, 420, 328, 473] | [
264,
420,
328,
473
] |
COCO_train2014_000000534065.jpg | refcoco_images/COCO_train2014_000000534065.jpg | kid in red shirt | [,,4.32,,,5.05,366.13,567.21] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Kid at location [11, 10, 370, 571]
Detected Red shirt at location [92, 84, 269, 324]
Detected Shirt at location [92, 84, 269, 324]
Detected kid in red shirt at location [0, 0, 366, 566]
Select the coordinates for the target object based on this Caption:'kid in red shirt'
Caption: 'kid in red shirt'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Kid', 'Red shirt', 'Shirt'] | Detected Kid at location [11, 10, 370, 571]
Detected Red shirt at location [92, 84, 269, 324]
Detected Shirt at location [92, 84, 269, 324]
Detected kid in red shirt at location [0, 0, 366, 566]
| [
0,
0,
366,
566
] | Detected kid in red shirt at location [0, 0, 366, 566] | Detected Kid at location [11, 10, 370, 571]
Detected Red shirt at location [92, 84, 269, 324]
Detected Shirt at location [92, 84, 269, 324]
Detected kid in red shirt at location [0, 0, 366, 566] | [
0,
0,
366,
566
] |
COCO_train2014_000000520921.jpg | refcoco_images/COCO_train2014_000000520921.jpg | left be | [201.15,182.19,408.57,402.74] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected be at location [201, 180, 409, 402]
Select the coordinates for the target object based on this Caption:'left be'
Caption: 'left be'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| [] | Detected left be at location [201, 180, 409, 402]
| [
201,
180,
409,
402
] | Detected be at location [201, 180, 409, 402] | Detected be at location [201, 180, 409, 402] | [
201,
180,
409,
402
] |
COCO_train2014_000000536233.jpg | refcoco_images/COCO_train2014_000000536233.jpg | man on right in green hat with blue jacket | [350.92,209.98,480.,,,588.22] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Man at location [347, 212, 479, 589]
Detected hat at location [389, 212, 438, 252]
Detected blue jacket at location [348, 261, 479, 407]
Detected man at location [351, 211, 479, 587]
Select the coordinates for the target object based on this Caption:'man on right in green hat with blue jacket'
Caption: 'man on right in green hat with blue jacket'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Man', 'Green hat', 'Blue jacket'] | Detected Man at location [347, 212, 479, 589]
Detected hat at location [389, 212, 438, 252]
Detected blue jacket at location [348, 261, 479, 407]
Detected man on right in green hat with blue jacket at location [351, 211, 479, 587]
| [
351,
211,
479,
587
] | Detected man at location [351, 211, 479, 587] | Detected Man at location [347, 212, 479, 589]
Detected hat at location [389, 212, 438, 252]
Detected blue jacket at location [348, 261, 479, 407]
Detected man at location [351, 211, 479, 587] | [
351,
211,
479,
587
] |
COCO_train2014_000000542541.jpg | refcoco_images/COCO_train2014_000000542541.jpg | fire truck on right that is cut off | [555.67,,53.35,640.,,,210.64] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Fire truck at location [299, 76, 555, 384]
Detected fire truck at location [555, 53, 639, 231]
Select the coordinates for the target object based on this Caption:'fire truck on right that is cut off'
Caption: 'fire truck on right that is cut off'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Fire truck'] | Detected Fire truck at location [299, 76, 555, 384]
Detected fire truck on right that is cut off at location [555, 53, 639, 231]
| [
555,
53,
639,
231
] | Detected fire truck at location [555, 53, 639, 231] | Detected Fire truck at location [299, 76, 555, 384]
Detected fire truck at location [555, 53, 639, 231] | [
555,
53,
639,
231
] |
COCO_train2014_000000527264.jpg | refcoco_images/COCO_train2014_000000527264.jpg | girl on skateboard | [,42.95,,,4.43,363.67,605.78] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Girl at location [43, 5, 368, 606]
Detected Skateboard at location [183, 588, 261, 639]
Detected girl at location [43, 4, 363, 605]
Select the coordinates for the target object based on this Caption:'girl on skateboard'
Caption: 'girl on skateboard'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Girl', 'Skateboard'] | Detected Girl at location [43, 5, 368, 606]
Detected Skateboard at location [183, 588, 261, 639]
Detected girl on skateboard at location [43, 4, 363, 605]
| [
43,
4,
363,
605
] | Detected girl at location [43, 4, 363, 605] | Detected Girl at location [43, 5, 368, 606]
Detected Skateboard at location [183, 588, 261, 639]
Detected girl at location [43, 4, 363, 605] | [
43,
4,
363,
605
] |
COCO_train2014_000000553413.jpg | refcoco_images/COCO_train2014_000000553413.jpg | white shirt left | [,30.13,,,1.2,,181.88,230.44] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected White shirt at location [272, 45, 593, 479]
Detected white shirt at location [35, 0, 190, 230]
Select the coordinates for the target object based on this Caption:'white shirt left'
Caption: 'white shirt left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['White shirt', 'Shirt'] | Detected White shirt at location [272, 45, 593, 479]
Detected white shirt left at location [35, 0, 190, 230]
| [
35,
0,
190,
230
] | Detected white shirt at location [35, 0, 190, 230] | Detected White shirt at location [272, 45, 593, 479]
Detected white shirt at location [35, 0, 190, 230] | [
35,
0,
190,
230
] |
COCO_train2014_000000569301.jpg | refcoco_images/COCO_train2014_000000569301.jpg | woman in red in the back | [354.95,,,2.25,513.7,,371.23] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Woman at location [352, 0, 510, 368]
Detected woman in red at location [355, 0, 513, 371]
Select the coordinates for the target object based on this Caption:'woman in red in the back'
Caption: 'woman in red in the back'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Woman', 'Red'] | Detected Woman at location [352, 0, 510, 368]
Detected woman in red in the back at location [355, 0, 513, 371]
| [
355,
0,
513,
371
] | Detected woman in red at location [355, 0, 513, 371] | Detected Woman at location [352, 0, 510, 368]
Detected woman in red at location [355, 0, 513, 371] | [
355,
0,
513,
371
] |
COCO_train2014_000000528687.jpg | refcoco_images/COCO_train2014_000000528687.jpg | empty seat | [155.98,,71.05,401.97,404.89] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Seat at location [272, 42, 603, 479]
Detected empty seat at location [156, 71, 402, 404]
Select the coordinates for the target object based on this Caption:'empty seat'
Caption: 'empty seat'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Seat'] | Detected Seat at location [272, 42, 603, 479]
Detected empty seat at location [156, 71, 402, 404]
| [
156,
71,
402,
404
] | Detected empty seat at location [156, 71, 402, 404] | Detected Seat at location [272, 42, 603, 479]
Detected empty seat at location [156, 71, 402, 404] | [
156,
71,
402,
404
] |
COCO_train2014_000000564708.jpg | refcoco_images/COCO_train2014_000000564708.jpg | bottom clock | [234.81,416.45,406.26,587.9,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Clock at location [247, 238, 407, 391]
Detected clock at location [232, 413, 407, 590]
Select the coordinates for the target object based on this Caption:'bottom clock'
Caption: 'bottom clock'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Clock'] | Detected Clock at location [247, 238, 407, 391]
Detected bottom clock at location [232, 413, 407, 590]
| [
232,
413,
407,
590
] | Detected clock at location [232, 413, 407, 590] | Detected Clock at location [247, 238, 407, 391]
Detected clock at location [232, 413, 407, 590] | [
232,
413,
407,
590
] |
COCO_train2014_000000565062.jpg | refcoco_images/COCO_train2014_000000565062.jpg | left girl in black | [,22.5,,,45.97,139.54,305.52] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Girl at location [118, 14, 267, 344]
Detected girl in black at location [21, 46, 139, 305]
Select the coordinates for the target object based on this Caption:'left girl in black'
Caption: 'left girl in black'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Girl', 'Black'] | Detected Girl at location [118, 14, 267, 344]
Detected left girl in black at location [21, 46, 139, 305]
| [
21,
46,
139,
305
] | Detected girl in black at location [21, 46, 139, 305] | Detected Girl at location [118, 14, 267, 344]
Detected girl in black at location [21, 46, 139, 305] | [
21,
46,
139,
305
] |
COCO_train2014_000000517584.jpg | refcoco_images/COCO_train2014_000000517584.jpg | shirtless in middle of right photo | [326.46,,21.26,618.71,305.69] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Shirtless at location [14, 20, 304, 306]
Detected shirtless at location [328, 20, 615, 305]
Select the coordinates for the target object based on this Caption:'shirtless in middle of right photo'
Caption: 'shirtless in middle of right photo'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Shirtless'] | Detected Shirtless at location [14, 20, 304, 306]
Detected shirtless in middle of right photo at location [328, 20, 615, 305]
| [
328,
20,
615,
305
] | Detected shirtless at location [328, 20, 615, 305] | Detected Shirtless at location [14, 20, 304, 306]
Detected shirtless at location [328, 20, 615, 305] | [
328,
20,
615,
305
] |
COCO_train2014_000000518901.jpg | refcoco_images/COCO_train2014_000000518901.jpg | Orange top right corner | [425.28,,,1.39,640.,,,,76.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Orange at location [129, 21, 452, 408]
Detected Orange at location [425, 0, 639, 77]
Select the coordinates for the target object based on this Caption:'Orange top right corner'
Caption: 'Orange top right corner'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Orange'] | Detected Orange at location [129, 21, 452, 408]
Detected Orange top right corner at location [425, 0, 639, 77]
| [
425,
0,
639,
77
] | Detected Orange at location [425, 0, 639, 77] | Detected Orange at location [129, 21, 452, 408]
Detected Orange at location [425, 0, 639, 77] | [
425,
0,
639,
77
] |
COCO_train2014_000000550944.jpg | refcoco_images/COCO_train2014_000000550944.jpg | woman | [337.42,163.89,418.4,,423.22] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Woman at location [334, 168, 418, 427]
Detected woman at location [336, 165, 415, 427]
Select the coordinates for the target object based on this Caption:'woman'
Caption: 'woman'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Woman'] | Detected Woman at location [334, 168, 418, 427]
Detected woman at location [336, 165, 415, 427]
| [
336,
165,
415,
427
] | Detected woman at location [336, 165, 415, 427] | Detected Woman at location [334, 168, 418, 427]
Detected woman at location [336, 165, 415, 427] | [
336,
165,
415,
427
] |
COCO_train2014_000000537532.jpg | refcoco_images/COCO_train2014_000000537532.jpg | plate | [,26.97,173.66,622.38,480.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Plate at location [26, 169, 620, 479]
Detected plate at location [27, 173, 620, 479]
Select the coordinates for the target object based on this Caption:'plate'
Caption: 'plate'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Plate'] | Detected Plate at location [26, 169, 620, 479]
Detected plate at location [27, 173, 620, 479]
| [
27,
173,
620,
479
] | Detected plate at location [27, 173, 620, 479] | Detected Plate at location [26, 169, 620, 479]
Detected plate at location [27, 173, 620, 479] | [
27,
173,
620,
479
] |
COCO_train2014_000000579663.jpg | refcoco_images/COCO_train2014_000000579663.jpg | bottom middle head | [207.67,460.72,357.57,605.12] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Head at location [203, 462, 355, 610]
Detected head at location [207, 463, 353, 611]
Select the coordinates for the target object based on this Caption:'bottom middle head'
Caption: 'bottom middle head'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Head'] | Detected Head at location [203, 462, 355, 610]
Detected bottom middle head at location [207, 463, 353, 611]
| [
207,
463,
353,
611
] | Detected head at location [207, 463, 353, 611] | Detected Head at location [203, 462, 355, 610]
Detected head at location [207, 463, 353, 611] | [
207,
463,
353,
611
] |
COCO_train2014_000000529624.jpg | refcoco_images/COCO_train2014_000000529624.jpg | girl player facing you | [274.7,,221.48,422.83,405.57] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Girl at location [139, 197, 318, 639]
Detected Girl at location [270, 220, 434, 639]
Detected Player at location [139, 197, 318, 639]
Detected Player at location [270, 220, 434, 639]
Detected girl at location [270, 222, 422, 639]
Select the coordinates for the target object based on this Caption:'girl player facing you'
Caption: 'girl player facing you'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Girl', 'Player'] | Detected Girl at location [139, 197, 318, 639]
Detected Girl at location [270, 220, 434, 639]
Detected Player at location [139, 197, 318, 639]
Detected Player at location [270, 220, 434, 639]
Detected girl player facing you at location [270, 222, 422, 639]
| [
270,
222,
422,
639
] | Detected girl at location [270, 222, 422, 639] | Detected Girl at location [139, 197, 318, 639]
Detected Girl at location [270, 220, 434, 639]
Detected Player at location [139, 197, 318, 639]
Detected Player at location [270, 220, 434, 639]
Detected girl at location [270, 222, 422, 639] | [
270,
222,
422,
639
] |
COCO_train2014_000000578331.jpg | refcoco_images/COCO_train2014_000000578331.jpg | yellow shirt | [101.39,160.22,326.69,548.24] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Yellow shirt at location [98, 280, 312, 556]
Detected yellow shirt at location [99, 280, 313, 556]
Select the coordinates for the target object based on this Caption:'yellow shirt'
Caption: 'yellow shirt'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Yellow shirt', 'Shirt'] | Detected Yellow shirt at location [98, 280, 312, 556]
Detected yellow shirt at location [99, 280, 313, 556]
| [
99,
280,
313,
556
] | Detected yellow shirt at location [99, 280, 313, 556] | Detected Yellow shirt at location [98, 280, 312, 556]
Detected yellow shirt at location [99, 280, 313, 556] | [
99,
280,
313,
556
] |
COCO_train2014_000000549539.jpg | refcoco_images/COCO_train2014_000000549539.jpg | kid in high chair | [161.8,,,,3.06,540.4,,333.12] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Kid at location [158, 2, 540, 337]
Detected chair at location [233, 3, 632, 342]
Detected kid at location [158, 0, 538, 337]
Select the coordinates for the target object based on this Caption:'kid in high chair'
Caption: 'kid in high chair'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Kid', 'High chair'] | Detected Kid at location [158, 2, 540, 337]
Detected chair at location [233, 3, 632, 342]
Detected kid in high chair at location [158, 0, 538, 337]
| [
158,
0,
538,
337
] | Detected kid at location [158, 0, 538, 337] | Detected Kid at location [158, 2, 540, 337]
Detected chair at location [233, 3, 632, 342]
Detected kid at location [158, 0, 538, 337] | [
158,
0,
538,
337
] |
COCO_train2014_000000528563.jpg | refcoco_images/COCO_train2014_000000528563.jpg | girl | [200.18,,46.4,,461.7,,472.59] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Girl at location [165, 42, 458, 479]
Detected girl at location [199, 47, 461, 472]
Select the coordinates for the target object based on this Caption:'girl'
Caption: 'girl'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Girl'] | Detected Girl at location [165, 42, 458, 479]
Detected girl at location [199, 47, 461, 472]
| [
199,
47,
461,
472
] | Detected girl at location [199, 47, 461, 472] | Detected Girl at location [165, 42, 458, 479]
Detected girl at location [199, 47, 461, 472] | [
199,
47,
461,
472
] |
COCO_train2014_000000558556.jpg | refcoco_images/COCO_train2014_000000558556.jpg | black umbrella | [,43.67,354.22,276.17,568.32] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Umbrella at location [41, 349, 468, 569]
Detected Umbrella at location [41, 351, 249, 569]
Detected Umbrella at location [258, 352, 467, 555]
Detected black umbrella at location [41, 351, 249, 570]
Select the coordinates for the target object based on this Caption:'black umbrella'
Caption: 'black umbrella'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Umbrella'] | Detected Umbrella at location [41, 349, 468, 569]
Detected Umbrella at location [41, 351, 249, 569]
Detected Umbrella at location [258, 352, 467, 555]
Detected black umbrella at location [41, 351, 249, 570]
| [
41,
351,
249,
570
] | Detected black umbrella at location [41, 351, 249, 570] | Detected Umbrella at location [41, 349, 468, 569]
Detected Umbrella at location [41, 351, 249, 569]
Detected Umbrella at location [258, 352, 467, 555]
Detected black umbrella at location [41, 351, 249, 570] | [
41,
351,
249,
570
] |
COCO_train2014_000000570878.jpg | refcoco_images/COCO_train2014_000000570878.jpg | upper left most set of horns | [,10.63,120.78,175.66,353.72] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Horns at location [0, 113, 639, 419]
Detected horns at location [14, 121, 173, 353]
Select the coordinates for the target object based on this Caption:'upper left most set of horns'
Caption: 'upper left most set of horns'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Horns'] | Detected Horns at location [0, 113, 639, 419]
Detected upper left most set of horns at location [14, 121, 173, 353]
| [
14,
121,
173,
353
] | Detected horns at location [14, 121, 173, 353] | Detected Horns at location [0, 113, 639, 419]
Detected horns at location [14, 121, 173, 353] | [
14,
121,
173,
353
] |
COCO_train2014_000000526464.jpg | refcoco_images/COCO_train2014_000000526464.jpg | dark surface above cup | [,49.61,110.51,202.17,299.03] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Surface at location [4, 3, 639, 479]
Detected Cup at location [76, 242, 199, 479]
Detected dark surface at location [0, 101, 203, 479]
Select the coordinates for the target object based on this Caption:'dark surface above cup'
Caption: 'dark surface above cup'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Surface', 'Cup'] | Detected Surface at location [4, 3, 639, 479]
Detected Cup at location [76, 242, 199, 479]
Detected dark surface above cup at location [0, 101, 203, 479]
| [
0,
101,
203,
479
] | Detected dark surface at location [0, 101, 203, 479] | Detected Surface at location [4, 3, 639, 479]
Detected Cup at location [76, 242, 199, 479]
Detected dark surface at location [0, 101, 203, 479] | [
0,
101,
203,
479
] |
COCO_train2014_000000560123.jpg | refcoco_images/COCO_train2014_000000560123.jpg | white car | [,39.25,121.29,231.67,255.31] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Car at location [89, 45, 606, 418]
Detected white car at location [90, 45, 606, 420]
Select the coordinates for the target object based on this Caption:'white car'
Caption: 'white car'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Car'] | Detected Car at location [89, 45, 606, 418]
Detected white car at location [90, 45, 606, 420]
| [
90,
45,
606,
420
] | Detected white car at location [90, 45, 606, 420] | Detected Car at location [89, 45, 606, 418]
Detected white car at location [90, 45, 606, 420] | [
90,
45,
606,
420
] |
COCO_train2014_000000517113.jpg | refcoco_images/COCO_train2014_000000517113.jpg | BATTER | [342.56,141.05,499.93,379.02] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected BATTER at location [338, 132, 504, 378]
Detected BATTER at location [340, 136, 504, 380]
Select the coordinates for the target object based on this Caption:'BATTER'
Caption: 'BATTER'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['BATTER'] | Detected BATTER at location [338, 132, 504, 378]
Detected BATTER at location [340, 136, 504, 380]
| [
340,
136,
504,
380
] | Detected BATTER at location [340, 136, 504, 380] | Detected BATTER at location [338, 132, 504, 378]
Detected BATTER at location [340, 136, 504, 380] | [
340,
136,
504,
380
] |
COCO_train2014_000000518509.jpg | refcoco_images/COCO_train2014_000000518509.jpg | white cup right | [474.61,156.4,,635.33,310.65] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Cup at location [479, 153, 636, 307]
Detected Cup at location [151, 199, 308, 354]
Detected white cup at location [480, 156, 636, 307]
Select the coordinates for the target object based on this Caption:'white cup right'
Caption: 'white cup right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Cup'] | Detected Cup at location [479, 153, 636, 307]
Detected Cup at location [151, 199, 308, 354]
Detected white cup right at location [480, 156, 636, 307]
| [
480,
156,
636,
307
] | Detected white cup at location [480, 156, 636, 307] | Detected Cup at location [479, 153, 636, 307]
Detected Cup at location [151, 199, 308, 354]
Detected white cup at location [480, 156, 636, 307] | [
480,
156,
636,
307
] |
COCO_train2014_000000543585.jpg | refcoco_images/COCO_train2014_000000543585.jpg | ump | [,58.3,,273.49,243.27,493.22] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Ump at location [69, 359, 313, 638]
Detected ump at location [69, 352, 316, 638]
Select the coordinates for the target object based on this Caption:'ump'
Caption: 'ump'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Ump'] | Detected Ump at location [69, 359, 313, 638]
Detected ump at location [69, 352, 316, 638]
| [
69,
352,
316,
638
] | Detected ump at location [69, 352, 316, 638] | Detected Ump at location [69, 359, 313, 638]
Detected ump at location [69, 352, 316, 638] | [
69,
352,
316,
638
] |
COCO_train2014_000000518932.jpg | refcoco_images/COCO_train2014_000000518932.jpg | main guy | [,,0.,,,,81.98,411.33,640.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Guy at location [3, 80, 410, 639]
Detected main guy at location [0, 83, 411, 639]
Select the coordinates for the target object based on this Caption:'main guy'
Caption: 'main guy'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Guy'] | Detected Guy at location [3, 80, 410, 639]
Detected main guy at location [0, 83, 411, 639]
| [
0,
83,
411,
639
] | Detected main guy at location [0, 83, 411, 639] | Detected Guy at location [3, 80, 410, 639]
Detected main guy at location [0, 83, 411, 639] | [
0,
83,
411,
639
] |
COCO_train2014_000000543038.jpg | refcoco_images/COCO_train2014_000000543038.jpg | right guy | [335.95,127.22,566.38,431.42] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Guy at location [336, 126, 567, 432]
Detected guy at location [337, 127, 565, 432]
Select the coordinates for the target object based on this Caption:'right guy'
Caption: 'right guy'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Guy'] | Detected Guy at location [336, 126, 567, 432]
Detected right guy at location [337, 127, 565, 432]
| [
337,
127,
565,
432
] | Detected guy at location [337, 127, 565, 432] | Detected Guy at location [336, 126, 567, 432]
Detected guy at location [337, 127, 565, 432] | [
337,
127,
565,
432
] |
COCO_train2014_000000575220.jpg | refcoco_images/COCO_train2014_000000575220.jpg | Left woman | [,,4.97,113.5,,313.3,,480.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Woman at location [5, 114, 311, 479]
Detected woman at location [5, 114, 311, 479]
Select the coordinates for the target object based on this Caption:'Left woman'
Caption: 'Left woman'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Woman'] | Detected Woman at location [5, 114, 311, 479]
Detected Left woman at location [5, 114, 311, 479]
| [
5,
114,
311,
479
] | Detected woman at location [5, 114, 311, 479] | Detected Woman at location [5, 114, 311, 479]
Detected woman at location [5, 114, 311, 479] | [
5,
114,
311,
479
] |
COCO_train2014_000000536820.jpg | refcoco_images/COCO_train2014_000000536820.jpg | elephant on right | [490.76,122.69,637.13,318.57] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Elephant at location [488, 121, 639, 318]
Detected elephant at location [490, 123, 639, 318]
Select the coordinates for the target object based on this Caption:'elephant on right'
Caption: 'elephant on right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Elephant'] | Detected Elephant at location [488, 121, 639, 318]
Detected elephant on right at location [490, 123, 639, 318]
| [
490,
123,
639,
318
] | Detected elephant at location [490, 123, 639, 318] | Detected Elephant at location [488, 121, 639, 318]
Detected elephant at location [490, 123, 639, 318] | [
490,
123,
639,
318
] |
COCO_train2014_000000542159.jpg | refcoco_images/COCO_train2014_000000542159.jpg | far right person | [538.9,,,67.48,640.,,,422.25] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Person at location [373, 45, 560, 427]
Detected person at location [538, 68, 638, 427]
Select the coordinates for the target object based on this Caption:'far right person'
Caption: 'far right person'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Person'] | Detected Person at location [373, 45, 560, 427]
Detected far right person at location [538, 68, 638, 427]
| [
538,
68,
638,
427
] | Detected person at location [538, 68, 638, 427] | Detected Person at location [373, 45, 560, 427]
Detected person at location [538, 68, 638, 427] | [
538,
68,
638,
427
] |
COCO_train2014_000000570768.jpg | refcoco_images/COCO_train2014_000000570768.jpg | guy running | [328.78,120.69,560.8,,430.75] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Guy at location [326, 120, 562, 434]
Detected guy at location [329, 121, 559, 429]
Select the coordinates for the target object based on this Caption:'guy running'
Caption: 'guy running'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Guy'] | Detected Guy at location [326, 120, 562, 434]
Detected guy running at location [329, 121, 559, 429]
| [
329,
121,
559,
429
] | Detected guy at location [329, 121, 559, 429] | Detected Guy at location [326, 120, 562, 434]
Detected guy at location [329, 121, 559, 429] | [
329,
121,
559,
429
] |
COCO_train2014_000000543469.jpg | refcoco_images/COCO_train2014_000000543469.jpg | small boy wearing plaid | [408.49,204.02,549.58,362.23] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Boy at location [377, 163, 603, 424]
Detected Boy at location [407, 202, 548, 363]
Detected small boy at location [408, 204, 548, 362]
Select the coordinates for the target object based on this Caption:'small boy wearing plaid'
Caption: 'small boy wearing plaid'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Boy', 'Plaid'] | Detected Boy at location [377, 163, 603, 424]
Detected Boy at location [407, 202, 548, 363]
Detected small boy wearing plaid at location [408, 204, 548, 362]
| [
408,
204,
548,
362
] | Detected small boy at location [408, 204, 548, 362] | Detected Boy at location [377, 163, 603, 424]
Detected Boy at location [407, 202, 548, 363]
Detected small boy at location [408, 204, 548, 362] | [
408,
204,
548,
362
] |
COCO_train2014_000000563488.jpg | refcoco_images/COCO_train2014_000000563488.jpg | Blue boat | [,11.23,,31.9,,483.78,208.64] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Blue boat at location [12, 30, 639, 211]
Detected Blue boat at location [12, 30, 560, 209]
Detected Blue boat at location [12, 30, 639, 212]
Detected blue boat at location [12, 31, 494, 210]
Select the coordinates for the target object based on this Caption:'Blue boat'
Caption: 'Blue boat'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Blue boat'] | Detected Blue boat at location [12, 30, 639, 211]
Detected Blue boat at location [12, 30, 560, 209]
Detected Blue boat at location [12, 30, 639, 212]
Detected Blue boat at location [12, 31, 494, 210]
| [
12,
31,
494,
210
] | Detected blue boat at location [12, 31, 494, 210] | Detected Blue boat at location [12, 30, 639, 211]
Detected Blue boat at location [12, 30, 560, 209]
Detected Blue boat at location [12, 30, 639, 212]
Detected blue boat at location [12, 31, 494, 210] | [
12,
31,
494,
210
] |
COCO_train2014_000000528748.jpg | refcoco_images/COCO_train2014_000000528748.jpg | left giraffe | [,36.67,102.74,248.09,413.39] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Giraffe at location [223, 178, 596, 449]
Detected giraffe at location [36, 104, 245, 412]
Select the coordinates for the target object based on this Caption:'left giraffe'
Caption: 'left giraffe'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Giraffe'] | Detected Giraffe at location [223, 178, 596, 449]
Detected left giraffe at location [36, 104, 245, 412]
| [
36,
104,
245,
412
] | Detected giraffe at location [36, 104, 245, 412] | Detected Giraffe at location [223, 178, 596, 449]
Detected giraffe at location [36, 104, 245, 412] | [
36,
104,
245,
412
] |
COCO_train2014_000000573931.jpg | refcoco_images/COCO_train2014_000000573931.jpg | bottom right square | [305.31,308.15,607.87,599.71] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Square at location [7, 8, 608, 606]
Detected Square at location [11, 12, 301, 301]
Detected Square at location [11, 312, 301, 601]
Detected Square at location [312, 312, 602, 601]
Detected Square at location [312, 11, 603, 300]
Detected square at location [311, 311, 603, 601]
Select the coordinates for the target object based on this Caption:'bottom right square'
Caption: 'bottom right square'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Square'] | Detected Square at location [7, 8, 608, 606]
Detected Square at location [11, 12, 301, 301]
Detected Square at location [11, 312, 301, 601]
Detected Square at location [312, 312, 602, 601]
Detected Square at location [312, 11, 603, 300]
Detected bottom right square at location [311, 311, 603, 601]
| [
311,
311,
603,
601
] | Detected square at location [311, 311, 603, 601] | Detected Square at location [7, 8, 608, 606]
Detected Square at location [11, 12, 301, 301]
Detected Square at location [11, 312, 301, 601]
Detected Square at location [312, 312, 602, 601]
Detected Square at location [312, 11, 603, 300]
Detected square at location [311, 311, 603, 601] | [
311,
311,
603,
601
] |
COCO_train2014_000000528851.jpg | refcoco_images/COCO_train2014_000000528851.jpg | guy right | [569.93,,,8.94,640.,,,470.52] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Guy at location [121, 32, 281, 293]
Detected guy at location [566, 12, 639, 479]
Select the coordinates for the target object based on this Caption:'guy right'
Caption: 'guy right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Guy'] | Detected Guy at location [121, 32, 281, 293]
Detected guy right at location [566, 12, 639, 479]
| [
566,
12,
639,
479
] | Detected guy at location [566, 12, 639, 479] | Detected Guy at location [121, 32, 281, 293]
Detected guy at location [566, 12, 639, 479] | [
566,
12,
639,
479
] |
COCO_train2014_000000548393.jpg | refcoco_images/COCO_train2014_000000548393.jpg | middle bottom donut | [193.33,183.54,328.74,315.69] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Donut at location [64, 47, 448, 325]
Detected donut at location [194, 184, 329, 315]
Select the coordinates for the target object based on this Caption:'middle bottom donut'
Caption: 'middle bottom donut'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Donut'] | Detected Donut at location [64, 47, 448, 325]
Detected middle bottom donut at location [194, 184, 329, 315]
| [
194,
184,
329,
315
] | Detected donut at location [194, 184, 329, 315] | Detected Donut at location [64, 47, 448, 325]
Detected donut at location [194, 184, 329, 315] | [
194,
184,
329,
315
] |
COCO_train2014_000000548088.jpg | refcoco_images/COCO_train2014_000000548088.jpg | chocolate cake above fork | [283.69,186.61,465.98,382.92] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Chocolate cake at location [176, 31, 464, 378]
Detected chocolate cake at location [280, 185, 461, 385]
Select the coordinates for the target object based on this Caption:'chocolate cake above fork'
Caption: 'chocolate cake above fork'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Chocolate cake', 'Fork'] | Detected Chocolate cake at location [176, 31, 464, 378]
Detected chocolate cake above fork at location [280, 185, 461, 385]
| [
280,
185,
461,
385
] | Detected chocolate cake at location [280, 185, 461, 385] | Detected Chocolate cake at location [176, 31, 464, 378]
Detected chocolate cake at location [280, 185, 461, 385] | [
280,
185,
461,
385
] |
COCO_train2014_000000581136.jpg | refcoco_images/COCO_train2014_000000581136.jpg | Couch on the left | [167.13,265.06,449.23,495.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Couch at location [167, 264, 450, 494]
Detected Couch at location [169, 266, 448, 494]
Select the coordinates for the target object based on this Caption:'Couch on the left'
Caption: 'Couch on the left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Couch'] | Detected Couch at location [167, 264, 450, 494]
Detected Couch on the left at location [169, 266, 448, 494]
| [
169,
266,
448,
494
] | Detected Couch at location [169, 266, 448, 494] | Detected Couch at location [167, 264, 450, 494]
Detected Couch at location [169, 266, 448, 494] | [
169,
266,
448,
494
] |
COCO_train2014_000000552068.jpg | refcoco_images/COCO_train2014_000000552068.jpg | man on left | [,,0.75,,77.61,244.15,326.99] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Man at location [165, 34, 439, 425]
Detected man at location [0, 103, 310, 426]
Select the coordinates for the target object based on this Caption:'man on left'
Caption: 'man on left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Man'] | Detected Man at location [165, 34, 439, 425]
Detected man on left at location [0, 103, 310, 426]
| [
0,
103,
310,
426
] | Detected man at location [0, 103, 310, 426] | Detected Man at location [165, 34, 439, 425]
Detected man at location [0, 103, 310, 426] | [
0,
103,
310,
426
] |
COCO_train2014_000000560004.jpg | refcoco_images/COCO_train2014_000000560004.jpg | jar with black n gold lid | [166.9,,488.97,325.52,633.79] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Jar at location [3, 254, 425, 639]
Detected jar at location [166, 489, 324, 639]
Select the coordinates for the target object based on this Caption:'jar with black n gold lid'
Caption: 'jar with black n gold lid'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Jar', 'Lid'] | Detected Jar at location [3, 254, 425, 639]
Detected jar with black n gold lid at location [166, 489, 324, 639]
| [
166,
489,
324,
639
] | Detected jar at location [166, 489, 324, 639] | Detected Jar at location [3, 254, 425, 639]
Detected jar at location [166, 489, 324, 639] | [
166,
489,
324,
639
] |
COCO_train2014_000000518948.jpg | refcoco_images/COCO_train2014_000000518948.jpg | center one | [244.66,119.83,373.3,,432.58] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Center at location [0, 0, 639, 511]
Detected center one at location [245, 120, 372, 431]
Select the coordinates for the target object based on this Caption:'center one'
Caption: 'center one'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Center'] | Detected Center at location [0, 0, 639, 511]
Detected center one at location [245, 120, 372, 431]
| [
245,
120,
372,
431
] | Detected center one at location [245, 120, 372, 431] | Detected Center at location [0, 0, 639, 511]
Detected center one at location [245, 120, 372, 431] | [
245,
120,
372,
431
] |
COCO_train2014_000000535788.jpg | refcoco_images/COCO_train2014_000000535788.jpg | the close one | [315.69,123.78,637.14,422.2,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected One at location [134, 116, 542, 424]
Detected One at location [310, 129, 639, 424]
Detected close one at location [313, 130, 639, 426]
Select the coordinates for the target object based on this Caption:'the close one'
Caption: 'the close one'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['One'] | Detected One at location [134, 116, 542, 424]
Detected One at location [310, 129, 639, 424]
Detected the close one at location [313, 130, 639, 426]
| [
313,
130,
639,
426
] | Detected close one at location [313, 130, 639, 426] | Detected One at location [134, 116, 542, 424]
Detected One at location [310, 129, 639, 424]
Detected close one at location [313, 130, 639, 426] | [
313,
130,
639,
426
] |
COCO_train2014_000000569069.jpg | refcoco_images/COCO_train2014_000000569069.jpg | batter | [103.55,,63.28,316.4,,547.96] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Batter at location [100, 62, 315, 547]
Detected batter at location [102, 63, 314, 548]
Select the coordinates for the target object based on this Caption:'batter'
Caption: 'batter'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Batter'] | Detected Batter at location [100, 62, 315, 547]
Detected batter at location [102, 63, 314, 548]
| [
102,
63,
314,
548
] | Detected batter at location [102, 63, 314, 548] | Detected Batter at location [100, 62, 315, 547]
Detected batter at location [102, 63, 314, 548] | [
102,
63,
314,
548
] |
COCO_train2014_000000532817.jpg | refcoco_images/COCO_train2014_000000532817.jpg | front black suitcase | [246.51,447.38,402.94,638.61] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Suitcase at location [3, 98, 425, 639]
Detected Suitcase at location [149, 337, 330, 580]
Detected Suitcase at location [247, 446, 404, 639]
Detected black suitcase at location [247, 448, 404, 639]
Select the coordinates for the target object based on this Caption:'front black suitcase'
Caption: 'front black suitcase'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Suitcase'] | Detected Suitcase at location [3, 98, 425, 639]
Detected Suitcase at location [149, 337, 330, 580]
Detected Suitcase at location [247, 446, 404, 639]
Detected front black suitcase at location [247, 448, 404, 639]
| [
247,
448,
404,
639
] | Detected black suitcase at location [247, 448, 404, 639] | Detected Suitcase at location [3, 98, 425, 639]
Detected Suitcase at location [149, 337, 330, 580]
Detected Suitcase at location [247, 446, 404, 639]
Detected black suitcase at location [247, 448, 404, 639] | [
247,
448,
404,
639
] |
COCO_train2014_000000524966.jpg | refcoco_images/COCO_train2014_000000524966.jpg | blk kid center | [277.93,,14.36,374.11,259.6,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Kid at location [368, 24, 564, 349]
Detected blk kid at location [281, 18, 372, 259]
Select the coordinates for the target object based on this Caption:'blk kid center'
Caption: 'blk kid center'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Kid'] | Detected Kid at location [368, 24, 564, 349]
Detected blk kid center at location [281, 18, 372, 259]
| [
281,
18,
372,
259
] | Detected blk kid at location [281, 18, 372, 259] | Detected Kid at location [368, 24, 564, 349]
Detected blk kid at location [281, 18, 372, 259] | [
281,
18,
372,
259
] |
COCO_train2014_000000531956.jpg | refcoco_images/COCO_train2014_000000531956.jpg | right to pbear | [367.68,,83.78,519.63,238.37] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected pbear at location [365, 207, 580, 469]
Detected pbear at location [368, 84, 519, 238]
Select the coordinates for the target object based on this Caption:'right to pbear'
Caption: 'right to pbear'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['pbear'] | Detected pbear at location [365, 207, 580, 469]
Detected right to pbear at location [368, 84, 519, 238]
| [
368,
84,
519,
238
] | Detected pbear at location [368, 84, 519, 238] | Detected pbear at location [365, 207, 580, 469]
Detected pbear at location [368, 84, 519, 238] | [
368,
84,
519,
238
] |
COCO_train2014_000000544568.jpg | refcoco_images/COCO_train2014_000000544568.jpg | GUY WALKING AROUND ON THE STREET | [4.5149e+02,4.9000e-01,6.0225e+02,2.8585e+02] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Guy at location [2, 1, 336, 359]
Select the coordinates for the target object based on this Caption:'GUY WALKING AROUND ON THE STREET'
Caption: 'GUY WALKING AROUND ON THE STREET'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Guy'] | Detected Guy at location [2, 1, 336, 359]
| [
2,
1,
336,
359
] | Detected Guy at location [2, 1, 336, 359] | Detected Guy at location [2, 1, 336, 359] | [
2,
1,
336,
359
] |
COCO_train2014_000000547066.jpg | refcoco_images/COCO_train2014_000000547066.jpg | left dessert, top left | [,81.56,,46.06,270.59,253.32] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Dessert at location [136, 117, 373, 369]
Detected dessert at location [81, 47, 270, 254]
Select the coordinates for the target object based on this Caption:'left dessert, top left'
Caption: 'left dessert, top left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Dessert'] | Detected Dessert at location [136, 117, 373, 369]
Detected left dessert, top left at location [81, 47, 270, 254]
| [
81,
47,
270,
254
] | Detected dessert at location [81, 47, 270, 254] | Detected Dessert at location [136, 117, 373, 369]
Detected dessert at location [81, 47, 270, 254] | [
81,
47,
270,
254
] |
COCO_train2014_000000556568.jpg | refcoco_images/COCO_train2014_000000556568.jpg | person skiing in blue | [,61.29,,75.93,193.94,319.26] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Person at location [316, 47, 489, 414]
Detected Person at location [75, 95, 243, 414]
Detected person at location [81, 98, 239, 412]
Select the coordinates for the target object based on this Caption:'person skiing in blue'
Caption: 'person skiing in blue'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Person', 'Skiing', 'Blue'] | Detected Person at location [316, 47, 489, 414]
Detected Person at location [75, 95, 243, 414]
Detected person skiing in blue at location [81, 98, 239, 412]
| [
81,
98,
239,
412
] | Detected person at location [81, 98, 239, 412] | Detected Person at location [316, 47, 489, 414]
Detected Person at location [75, 95, 243, 414]
Detected person at location [81, 98, 239, 412] | [
81,
98,
239,
412
] |
COCO_train2014_000000575526.jpg | refcoco_images/COCO_train2014_000000575526.jpg | Soccer player about to kick the ball. | [,92.52,198.28,412.54,535.36] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Soccer player at location [89, 197, 413, 537]
Detected Soccer player at location [229, 74, 413, 507]
Detected Ball at location [43, 486, 95, 538]
Detected Soccer player at location [90, 199, 412, 535]
Select the coordinates for the target object based on this Caption:'Soccer player about to kick the ball.'
Caption: 'Soccer player about to kick the ball.'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Soccer player', 'Ball'] | Detected Soccer player at location [89, 197, 413, 537]
Detected Soccer player at location [229, 74, 413, 507]
Detected Ball at location [43, 486, 95, 538]
Detected Soccer player about to kick the ball. at location [90, 199, 412, 535]
| [
90,
199,
412,
535
] | Detected Soccer player at location [90, 199, 412, 535] | Detected Soccer player at location [89, 197, 413, 537]
Detected Soccer player at location [229, 74, 413, 507]
Detected Ball at location [43, 486, 95, 538]
Detected Soccer player at location [90, 199, 412, 535] | [
90,
199,
412,
535
] |
COCO_train2014_000000562517.jpg | refcoco_images/COCO_train2014_000000562517.jpg | right woman | [499.23,323.63,640.,,,632.74] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Woman at location [500, 320, 639, 639]
Detected woman at location [500, 322, 639, 639]
Select the coordinates for the target object based on this Caption:'right woman'
Caption: 'right woman'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Woman'] | Detected Woman at location [500, 320, 639, 639]
Detected right woman at location [500, 322, 639, 639]
| [
500,
322,
639,
639
] | Detected woman at location [500, 322, 639, 639] | Detected Woman at location [500, 320, 639, 639]
Detected woman at location [500, 322, 639, 639] | [
500,
322,
639,
639
] |
COCO_train2014_000000544449.jpg | refcoco_images/COCO_train2014_000000544449.jpg | left apple under orange | [239.82,287.78,444.19,458.79] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Apple at location [3, 2, 638, 463]
Detected Apple at location [280, 72, 556, 333]
Detected apple at location [238, 287, 441, 463]
Select the coordinates for the target object based on this Caption:'left apple under orange'
Caption: 'left apple under orange'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Apple', 'Orange'] | Detected Apple at location [3, 2, 638, 463]
Detected Apple at location [280, 72, 556, 333]
Detected left apple under orange at location [238, 287, 441, 463]
| [
238,
287,
441,
463
] | Detected apple at location [238, 287, 441, 463] | Detected Apple at location [3, 2, 638, 463]
Detected Apple at location [280, 72, 556, 333]
Detected apple at location [238, 287, 441, 463] | [
238,
287,
441,
463
] |
COCO_train2014_000000568597.jpg | refcoco_images/COCO_train2014_000000568597.jpg | woman with glasses | [,30.86,,43.8,,431.05,443.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Woman at location [29, 42, 429, 439]
Detected woman at location [30, 44, 428, 441]
Select the coordinates for the target object based on this Caption:'woman with glasses'
Caption: 'woman with glasses'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Woman', 'Glasses'] | Detected Woman at location [29, 42, 429, 439]
Detected woman with glasses at location [30, 44, 428, 441]
| [
30,
44,
428,
441
] | Detected woman at location [30, 44, 428, 441] | Detected Woman at location [29, 42, 429, 439]
Detected woman at location [30, 44, 428, 441] | [
30,
44,
428,
441
] |
COCO_train2014_000000567870.jpg | refcoco_images/COCO_train2014_000000567870.jpg | mom sheep | [,69.01,105.36,300.73,372.86] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Mom at location [78, 129, 441, 498]
Detected Sheep at location [80, 132, 438, 498]
Detected mom sheep at location [80, 131, 439, 500]
Select the coordinates for the target object based on this Caption:'mom sheep'
Caption: 'mom sheep'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Mom', 'Sheep'] | Detected Mom at location [78, 129, 441, 498]
Detected Sheep at location [80, 132, 438, 498]
Detected mom sheep at location [80, 131, 439, 500]
| [
80,
131,
439,
500
] | Detected mom sheep at location [80, 131, 439, 500] | Detected Mom at location [78, 129, 441, 498]
Detected Sheep at location [80, 132, 438, 498]
Detected mom sheep at location [80, 131, 439, 500] | [
80,
131,
439,
500
] |
COCO_train2014_000000568677.jpg | refcoco_images/COCO_train2014_000000568677.jpg | rightman | [298.55,,57.23,532.44,314.89] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Rightman at location [52, 39, 299, 324]
Detected Rightman at location [291, 55, 538, 318]
Detected rightman at location [292, 55, 535, 318]
Select the coordinates for the target object based on this Caption:'rightman'
Caption: 'rightman'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Rightman'] | Detected Rightman at location [52, 39, 299, 324]
Detected Rightman at location [291, 55, 538, 318]
Detected rightman at location [292, 55, 535, 318]
| [
292,
55,
535,
318
] | Detected rightman at location [292, 55, 535, 318] | Detected Rightman at location [52, 39, 299, 324]
Detected Rightman at location [291, 55, 538, 318]
Detected rightman at location [292, 55, 535, 318] | [
292,
55,
535,
318
] |
COCO_train2014_000000534690.jpg | refcoco_images/COCO_train2014_000000534690.jpg | couch cushin above dog heads | [,45.97,,,0.81,379.03,369.35] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Couch at location [2, 3, 639, 479]
Detected Cushion at location [257, 234, 544, 479]
Detected Dog at location [319, 137, 639, 479]
Detected Dog at location [1, 157, 315, 479]
Detected Head at location [319, 138, 457, 260]
Detected couch at location [0, 0, 639, 479]
Select the coordinates for the target object based on this Caption:'couch cushin above dog heads'
Caption: 'couch cushin above dog heads'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Couch', 'Cushion', 'Dog', 'Head'] | Detected Couch at location [2, 3, 639, 479]
Detected Cushion at location [257, 234, 544, 479]
Detected Dog at location [319, 137, 639, 479]
Detected Dog at location [1, 157, 315, 479]
Detected Head at location [319, 138, 457, 260]
Detected couch cushin above dog heads at location [0, 0, 639, 479]
| [
0,
0,
639,
479
] | Detected couch at location [0, 0, 639, 479] | Detected Couch at location [2, 3, 639, 479]
Detected Cushion at location [257, 234, 544, 479]
Detected Dog at location [319, 137, 639, 479]
Detected Dog at location [1, 157, 315, 479]
Detected Head at location [319, 138, 457, 260]
Detected couch at location [0, 0, 639, 479] | [
0,
0,
639,
479
] |
COCO_train2014_000000565424.jpg | refcoco_images/COCO_train2014_000000565424.jpg | white & gray striped shirt in back | [,,0.,,,,,2.69,,91.12,192.63] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected White striped shirt at location [0, 2, 73, 100]
Detected shirt at location [0, 2, 71, 100]
Detected white & gray striped shirt at location [0, 0, 91, 194]
Select the coordinates for the target object based on this Caption:'white & gray striped shirt in back'
Caption: 'white & gray striped shirt in back'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['White striped shirt', 'Gray striped shirt', 'Shirt'] | Detected White striped shirt at location [0, 2, 73, 100]
Detected shirt at location [0, 2, 71, 100]
Detected white & gray striped shirt in back at location [0, 0, 91, 194]
| [
0,
0,
91,
194
] | Detected white & gray striped shirt at location [0, 0, 91, 194] | Detected White striped shirt at location [0, 2, 73, 100]
Detected shirt at location [0, 2, 71, 100]
Detected white & gray striped shirt at location [0, 0, 91, 194] | [
0,
0,
91,
194
] |
COCO_train2014_000000542426.jpg | refcoco_images/COCO_train2014_000000542426.jpg | striped shirt | [329.99,,70.03,473.62,448.69] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Striped shirt at location [338, 106, 475, 354]
Detected striped shirt at location [339, 106, 476, 357]
Select the coordinates for the target object based on this Caption:'striped shirt'
Caption: 'striped shirt'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Striped shirt', 'Shirt'] | Detected Striped shirt at location [338, 106, 475, 354]
Detected striped shirt at location [339, 106, 476, 357]
| [
339,
106,
476,
357
] | Detected striped shirt at location [339, 106, 476, 357] | Detected Striped shirt at location [338, 106, 475, 354]
Detected striped shirt at location [339, 106, 476, 357] | [
339,
106,
476,
357
] |
COCO_train2014_000000542839.jpg | refcoco_images/COCO_train2014_000000542839.jpg | that was some awesome hair! girl furthest away facing you | [237.64,,38.19,357.79,188.77] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Hair at location [416, 165, 608, 464]
Detected Hair at location [235, 36, 359, 189]
Detected Girl at location [416, 165, 609, 464]
Detected Girl at location [235, 36, 358, 189]
Detected girl at location [238, 39, 357, 189]
Select the coordinates for the target object based on this Caption:'that was some awesome hair! girl furthest away facing you'
Caption: 'that was some awesome hair! girl furthest away facing you'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Hair', 'Girl'] | Detected Hair at location [416, 165, 608, 464]
Detected Hair at location [235, 36, 359, 189]
Detected Girl at location [416, 165, 609, 464]
Detected Girl at location [235, 36, 358, 189]
Detected that was some awesome hair! girl furthest away facing you at location [238, 39, 357, 189]
| [
238,
39,
357,
189
] | Detected girl at location [238, 39, 357, 189] | Detected Hair at location [416, 165, 608, 464]
Detected Hair at location [235, 36, 359, 189]
Detected Girl at location [416, 165, 609, 464]
Detected Girl at location [235, 36, 358, 189]
Detected girl at location [238, 39, 357, 189] | [
238,
39,
357,
189
] |
COCO_train2014_000000567287.jpg | refcoco_images/COCO_train2014_000000567287.jpg | top right red umbrella | [373.43,,65.9,,638.93,188.15] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Umbrella at location [2, 57, 639, 374]
Detected Umbrella at location [279, 60, 639, 193]
Detected Umbrella at location [189, 165, 460, 304]
Detected red umbrella at location [366, 63, 639, 190]
Select the coordinates for the target object based on this Caption:'top right red umbrella'
Caption: 'top right red umbrella'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Umbrella'] | Detected Umbrella at location [2, 57, 639, 374]
Detected Umbrella at location [279, 60, 639, 193]
Detected Umbrella at location [189, 165, 460, 304]
Detected top right red umbrella at location [366, 63, 639, 190]
| [
366,
63,
639,
190
] | Detected red umbrella at location [366, 63, 639, 190] | Detected Umbrella at location [2, 57, 639, 374]
Detected Umbrella at location [279, 60, 639, 193]
Detected Umbrella at location [189, 165, 460, 304]
Detected red umbrella at location [366, 63, 639, 190] | [
366,
63,
639,
190
] |
COCO_train2014_000000537555.jpg | refcoco_images/COCO_train2014_000000537555.jpg | mustard bottle directly to the left of beer | [130.9,,,55.3,,222.51,223.9,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Mustard bottle at location [338, 0, 445, 289]
Detected Mustard bottle at location [63, 0, 141, 267]
Detected Beer at location [338, 0, 445, 289]
Detected mustard bottle at location [132, 57, 222, 224]
Select the coordinates for the target object based on this Caption:'mustard bottle directly to the left of beer'
Caption: 'mustard bottle directly to the left of beer'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Mustard bottle', 'Beer'] | Detected Mustard bottle at location [338, 0, 445, 289]
Detected Mustard bottle at location [63, 0, 141, 267]
Detected Beer at location [338, 0, 445, 289]
Detected mustard bottle directly to the left of beer at location [132, 57, 222, 224]
| [
132,
57,
222,
224
] | Detected mustard bottle at location [132, 57, 222, 224] | Detected Mustard bottle at location [338, 0, 445, 289]
Detected Mustard bottle at location [63, 0, 141, 267]
Detected Beer at location [338, 0, 445, 289]
Detected mustard bottle at location [132, 57, 222, 224] | [
132,
57,
222,
224
] |
COCO_train2014_000000532565.jpg | refcoco_images/COCO_train2014_000000532565.jpg | lady | [,,1.44,,96.12,228.67,619.63] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Lady at location [1, 93, 231, 639]
Detected lady at location [2, 94, 232, 639]
Select the coordinates for the target object based on this Caption:'lady'
Caption: 'lady'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Lady'] | Detected Lady at location [1, 93, 231, 639]
Detected lady at location [2, 94, 232, 639]
| [
2,
94,
232,
639
] | Detected lady at location [2, 94, 232, 639] | Detected Lady at location [1, 93, 231, 639]
Detected lady at location [2, 94, 232, 639] | [
2,
94,
232,
639
] |
COCO_train2014_000000519939.jpg | refcoco_images/COCO_train2014_000000519939.jpg | woman far left | [,,0.,,,,43.15,414.98,639.8,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Woman at location [3, 41, 414, 639]
Detected woman at location [0, 43, 416, 639]
Select the coordinates for the target object based on this Caption:'woman far left'
Caption: 'woman far left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Woman'] | Detected Woman at location [3, 41, 414, 639]
Detected woman far left at location [0, 43, 416, 639]
| [
0,
43,
416,
639
] | Detected woman at location [0, 43, 416, 639] | Detected Woman at location [3, 41, 414, 639]
Detected woman at location [0, 43, 416, 639] | [
0,
43,
416,
639
] |
COCO_train2014_000000541450.jpg | refcoco_images/COCO_train2014_000000541450.jpg | brocolli piece at bottom right | [438.11,262.64,640.,,,427.92] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Broccoli at location [152, 125, 352, 309]
Detected brocolli at location [439, 264, 639, 426]
Select the coordinates for the target object based on this Caption:'brocolli piece at bottom right'
Caption: 'brocolli piece at bottom right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Broccoli'] | Detected Broccoli at location [152, 125, 352, 309]
Detected brocolli piece at bottom right at location [439, 264, 639, 426]
| [
439,
264,
639,
426
] | Detected brocolli at location [439, 264, 639, 426] | Detected Broccoli at location [152, 125, 352, 309]
Detected brocolli at location [439, 264, 639, 426] | [
439,
264,
639,
426
] |
COCO_train2014_000000576931.jpg | refcoco_images/COCO_train2014_000000576931.jpg | far right, half of guy | [479.41,195.49,612.,,,610.63] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Guy at location [298, 200, 419, 604]
Detected guy at location [478, 198, 611, 611]
Select the coordinates for the target object based on this Caption:'far right, half of guy'
Caption: 'far right, half of guy'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Guy'] | Detected Guy at location [298, 200, 419, 604]
Detected far right, half of guy at location [478, 198, 611, 611]
| [
478,
198,
611,
611
] | Detected guy at location [478, 198, 611, 611] | Detected Guy at location [298, 200, 419, 604]
Detected guy at location [478, 198, 611, 611] | [
478,
198,
611,
611
] |
COCO_train2014_000000564437.jpg | refcoco_images/COCO_train2014_000000564437.jpg | middle sheep | [172.54,,44.,,,351.46,458.16] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Sheep at location [4, 14, 479, 514]
Detected sheep at location [172, 44, 351, 456]
Select the coordinates for the target object based on this Caption:'middle sheep'
Caption: 'middle sheep'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Sheep'] | Detected Sheep at location [4, 14, 479, 514]
Detected middle sheep at location [172, 44, 351, 456]
| [
172,
44,
351,
456
] | Detected sheep at location [172, 44, 351, 456] | Detected Sheep at location [4, 14, 479, 514]
Detected sheep at location [172, 44, 351, 456] | [
172,
44,
351,
456
] |
COCO_train2014_000000534037.jpg | refcoco_images/COCO_train2014_000000534037.jpg | the sandwich in front | [,,2.88,314.97,427.,,,562.34] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Sandwich at location [0, 236, 426, 564]
Detected sandwich at location [0, 316, 426, 561]
Select the coordinates for the target object based on this Caption:'the sandwich in front'
Caption: 'the sandwich in front'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Sandwich'] | Detected Sandwich at location [0, 236, 426, 564]
Detected the sandwich in front at location [0, 316, 426, 561]
| [
0,
316,
426,
561
] | Detected sandwich at location [0, 316, 426, 561] | Detected Sandwich at location [0, 236, 426, 564]
Detected sandwich at location [0, 316, 426, 561] | [
0,
316,
426,
561
] |
COCO_train2014_000000581739.jpg | refcoco_images/COCO_train2014_000000581739.jpg | middle vase | [265.35,143.46,381.84,453.03] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Vase at location [267, 142, 375, 453]
Detected Vase at location [153, 140, 263, 451]
Detected Vase at location [376, 145, 483, 451]
Detected middle vase at location [265, 144, 376, 453]
Select the coordinates for the target object based on this Caption:'middle vase'
Caption: 'middle vase'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Vase'] | Detected Vase at location [267, 142, 375, 453]
Detected Vase at location [153, 140, 263, 451]
Detected Vase at location [376, 145, 483, 451]
Detected middle vase at location [265, 144, 376, 453]
| [
265,
144,
376,
453
] | Detected middle vase at location [265, 144, 376, 453] | Detected Vase at location [267, 142, 375, 453]
Detected Vase at location [153, 140, 263, 451]
Detected Vase at location [376, 145, 483, 451]
Detected middle vase at location [265, 144, 376, 453] | [
265,
144,
376,
453
] |
COCO_train2014_000000560687.jpg | refcoco_images/COCO_train2014_000000560687.jpg | closest man with patterned umbrella | [364.66,130.75,554.19,502.61] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Man at location [364, 77, 587, 505]
Detected Man at location [366, 130, 553, 504]
Detected umbrella at location [373, 78, 588, 153]
Detected man at location [366, 134, 552, 503]
Select the coordinates for the target object based on this Caption:'closest man with patterned umbrella'
Caption: 'closest man with patterned umbrella'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Man', 'Umbrella'] | Detected Man at location [364, 77, 587, 505]
Detected Man at location [366, 130, 553, 504]
Detected umbrella at location [373, 78, 588, 153]
Detected closest man with patterned umbrella at location [366, 134, 552, 503]
| [
366,
134,
552,
503
] | Detected man at location [366, 134, 552, 503] | Detected Man at location [364, 77, 587, 505]
Detected Man at location [366, 130, 553, 504]
Detected umbrella at location [373, 78, 588, 153]
Detected man at location [366, 134, 552, 503] | [
366,
134,
552,
503
] |
COCO_train2014_000000538993.jpg | refcoco_images/COCO_train2014_000000538993.jpg | blue umbrella | [279.8,,,13.87,447.02,101.97] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Umbrella at location [31, 3, 368, 191]
Detected blue umbrella at location [356, 17, 572, 130]
Select the coordinates for the target object based on this Caption:'blue umbrella'
Caption: 'blue umbrella'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Umbrella'] | Detected Umbrella at location [31, 3, 368, 191]
Detected blue umbrella at location [356, 17, 572, 130]
| [
356,
17,
572,
130
] | Detected blue umbrella at location [356, 17, 572, 130] | Detected Umbrella at location [31, 3, 368, 191]
Detected blue umbrella at location [356, 17, 572, 130] | [
356,
17,
572,
130
] |
COCO_train2014_000000568840.jpg | refcoco_images/COCO_train2014_000000568840.jpg | borrom coffee | [407.73,114.34,640.,,,412.04] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Coffee at location [407, 116, 639, 408]
Detected coffee at location [407, 114, 639, 412]
Select the coordinates for the target object based on this Caption:'borrom coffee'
Caption: 'borrom coffee'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Coffee'] | Detected Coffee at location [407, 116, 639, 408]
Detected borrom coffee at location [407, 114, 639, 412]
| [
407,
114,
639,
412
] | Detected coffee at location [407, 114, 639, 412] | Detected Coffee at location [407, 116, 639, 408]
Detected coffee at location [407, 114, 639, 412] | [
407,
114,
639,
412
] |
COCO_train2014_000000578718.jpg | refcoco_images/COCO_train2014_000000578718.jpg | person on the left wearing plaid shirt | [,76.16,233.04,304.32,640.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Person at location [74, 225, 307, 639]
Detected shirt at location [120, 345, 287, 601]
Detected person at location [77, 228, 306, 639]
Select the coordinates for the target object based on this Caption:'person on the left wearing plaid shirt'
Caption: 'person on the left wearing plaid shirt'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Person', 'Plaid shirt', 'Shirt'] | Detected Person at location [74, 225, 307, 639]
Detected shirt at location [120, 345, 287, 601]
Detected person on the left wearing plaid shirt at location [77, 228, 306, 639]
| [
77,
228,
306,
639
] | Detected person at location [77, 228, 306, 639] | Detected Person at location [74, 225, 307, 639]
Detected shirt at location [120, 345, 287, 601]
Detected person at location [77, 228, 306, 639] | [
77,
228,
306,
639
] |
COCO_train2014_000000520843.jpg | refcoco_images/COCO_train2014_000000520843.jpg | green skateboard | [331.49,,,0.,,,453.,,,427.42] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Skateboard at location [334, 1, 457, 426]
Detected Skateboard at location [383, 171, 546, 452]
Detected Skateboard at location [70, 1, 163, 390]
Detected Skateboard at location [241, 97, 352, 416]
Detected Skateboard at location [162, 110, 261, 374]
Detected green skateboard at location [333, 1, 456, 427]
Select the coordinates for the target object based on this Caption:'green skateboard'
Caption: 'green skateboard'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Skateboard'] | Detected Skateboard at location [334, 1, 457, 426]
Detected Skateboard at location [383, 171, 546, 452]
Detected Skateboard at location [70, 1, 163, 390]
Detected Skateboard at location [241, 97, 352, 416]
Detected Skateboard at location [162, 110, 261, 374]
Detected green skateboard at location [333, 1, 456, 427]
| [
333,
1,
456,
427
] | Detected green skateboard at location [333, 1, 456, 427] | Detected Skateboard at location [334, 1, 457, 426]
Detected Skateboard at location [383, 171, 546, 452]
Detected Skateboard at location [70, 1, 163, 390]
Detected Skateboard at location [241, 97, 352, 416]
Detected Skateboard at location [162, 110, 261, 374]
Detected green skateboard at location [333, 1, 456, 427] | [
333,
1,
456,
427
] |
COCO_train2014_000000531290.jpg | refcoco_images/COCO_train2014_000000531290.jpg | Partial person on the left | [,,1.33,107.93,132.64,330.77] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Person at location [1, 104, 105, 323]
Detected person at location [0, 105, 102, 336]
Select the coordinates for the target object based on this Caption:'Partial person on the left'
Caption: 'Partial person on the left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Person'] | Detected Person at location [1, 104, 105, 323]
Detected Partial person on the left at location [0, 105, 102, 336]
| [
0,
105,
102,
336
] | Detected person at location [0, 105, 102, 336] | Detected Person at location [1, 104, 105, 323]
Detected person at location [0, 105, 102, 336] | [
0,
105,
102,
336
] |
COCO_train2014_000000560542.jpg | refcoco_images/COCO_train2014_000000560542.jpg | the dark skirt on left | [,17.84,,10.49,180.5,,349.46] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Dark skirt at location [21, 12, 178, 230]
Detected Dark skirt at location [23, 49, 178, 228]
Detected dark skirt at location [19, 9, 180, 349]
Select the coordinates for the target object based on this Caption:'the dark skirt on left'
Caption: 'the dark skirt on left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Dark skirt'] | Detected Dark skirt at location [21, 12, 178, 230]
Detected Dark skirt at location [23, 49, 178, 228]
Detected the dark skirt on left at location [19, 9, 180, 349]
| [
19,
9,
180,
349
] | Detected dark skirt at location [19, 9, 180, 349] | Detected Dark skirt at location [21, 12, 178, 230]
Detected Dark skirt at location [23, 49, 178, 228]
Detected dark skirt at location [19, 9, 180, 349] | [
19,
9,
180,
349
] |
COCO_train2014_000000518361.jpg | refcoco_images/COCO_train2014_000000518361.jpg | yellow jacket | [101.,,,,54.31,223.91,419.24] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Jacket at location [99, 113, 226, 259]
Detected yellow jacket at location [100, 54, 222, 423]
Select the coordinates for the target object based on this Caption:'yellow jacket'
Caption: 'yellow jacket'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Jacket'] | Detected Jacket at location [99, 113, 226, 259]
Detected yellow jacket at location [100, 54, 222, 423]
| [
100,
54,
222,
423
] | Detected yellow jacket at location [100, 54, 222, 423] | Detected Jacket at location [99, 113, 226, 259]
Detected yellow jacket at location [100, 54, 222, 423] | [
100,
54,
222,
423
] |
COCO_train2014_000000558656.jpg | refcoco_images/COCO_train2014_000000558656.jpg | wears red shirt on the left | [,24.45,261.75,281.89,631.37] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Red shirt at location [45, 356, 274, 596]
Detected red shirt at location [45, 357, 276, 597]
Select the coordinates for the target object based on this Caption:'wears red shirt on the left'
Caption: 'wears red shirt on the left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Red shirt', 'Shirt'] | Detected Red shirt at location [45, 356, 274, 596]
Detected wears red shirt on the left at location [45, 357, 276, 597]
| [
45,
357,
276,
597
] | Detected red shirt at location [45, 357, 276, 597] | Detected Red shirt at location [45, 356, 274, 596]
Detected red shirt at location [45, 357, 276, 597] | [
45,
357,
276,
597
] |
COCO_train2014_000000545731.jpg | refcoco_images/COCO_train2014_000000545731.jpg | Left girl | [,,5.84,244.02,128.58,422.28] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Girl at location [97, 434, 277, 639]
Detected Girl at location [116, 11, 277, 207]
Detected Girl at location [134, 241, 278, 425]
Detected Girl at location [4, 236, 129, 424]
Detected Girl at location [2, 434, 89, 639]
Detected Girl at location [2, 21, 87, 206]
Detected Left girl at location [97, 434, 279, 639]
Detected Left girl at location [116, 11, 279, 208]
Detected Left girl at location [134, 241, 279, 425]
Detected Left girl at location [4, 236, 130, 425]
Detected girl at location [2, 434, 91, 639]
Select the coordinates for the target object based on this Caption:'Left girl'
Caption: 'Left girl'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Girl'] | Detected Girl at location [97, 434, 277, 639]
Detected Girl at location [116, 11, 277, 207]
Detected Girl at location [134, 241, 278, 425]
Detected Girl at location [4, 236, 129, 424]
Detected Girl at location [2, 434, 89, 639]
Detected Girl at location [2, 21, 87, 206]
Detected Left girl at location [97, 434, 279, 639]
Detected Left girl at location [116, 11, 279, 208]
Detected Left girl at location [134, 241, 279, 425]
Detected Left girl at location [4, 236, 130, 425]
Detected Left girl at location [2, 434, 91, 639]
| [
2,
434,
91,
639
] | Detected girl at location [2, 434, 91, 639] | Detected Girl at location [97, 434, 277, 639]
Detected Girl at location [116, 11, 277, 207]
Detected Girl at location [134, 241, 278, 425]
Detected Girl at location [4, 236, 129, 424]
Detected Girl at location [2, 434, 89, 639]
Detected Girl at location [2, 21, 87, 206]
Detected Left girl at location [97, 434, 279, 639]
Detected Left girl at location [116, 11, 279, 208]
Detected Left girl at location [134, 241, 279, 425]
Detected Left girl at location [4, 236, 130, 425]
Detected girl at location [2, 434, 91, 639] | [
2,
434,
91,
639
] |
COCO_train2014_000000524291.jpg | refcoco_images/COCO_train2014_000000524291.jpg | Dog on the right | [279.7,,148.88,628.24,421.7,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Dog at location [279, 149, 630, 422]
Detected Dog at location [279, 150, 628, 425]
Select the coordinates for the target object based on this Caption:'Dog on the right'
Caption: 'Dog on the right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Dog'] | Detected Dog at location [279, 149, 630, 422]
Detected Dog on the right at location [279, 150, 628, 425]
| [
279,
150,
628,
425
] | Detected Dog at location [279, 150, 628, 425] | Detected Dog at location [279, 149, 630, 422]
Detected Dog at location [279, 150, 628, 425] | [
279,
150,
628,
425
] |
COCO_train2014_000000565595.jpg | refcoco_images/COCO_train2014_000000565595.jpg | man sitting | [,35.61,193.24,236.59,425.09] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Man at location [201, 168, 413, 424]
Detected Man at location [34, 191, 234, 424]
Detected man at location [36, 194, 235, 426]
Select the coordinates for the target object based on this Caption:'man sitting'
Caption: 'man sitting'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Man'] | Detected Man at location [201, 168, 413, 424]
Detected Man at location [34, 191, 234, 424]
Detected man sitting at location [36, 194, 235, 426]
| [
36,
194,
235,
426
] | Detected man at location [36, 194, 235, 426] | Detected Man at location [201, 168, 413, 424]
Detected Man at location [34, 191, 234, 424]
Detected man at location [36, 194, 235, 426] | [
36,
194,
235,
426
] |
COCO_train2014_000000568311.jpg | refcoco_images/COCO_train2014_000000568311.jpg | big turck right | [401.81,116.57,587.31,333.71] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Truck at location [399, 115, 588, 331]
Detected big truck at location [402, 118, 587, 330]
Select the coordinates for the target object based on this Caption:'big turck right'
Caption: 'big turck right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Truck'] | Detected Truck at location [399, 115, 588, 331]
Detected big turck right at location [402, 118, 587, 330]
| [
402,
118,
587,
330
] | Detected big truck at location [402, 118, 587, 330] | Detected Truck at location [399, 115, 588, 331]
Detected big truck at location [402, 118, 587, 330] | [
402,
118,
587,
330
] |
COCO_train2014_000000521216.jpg | refcoco_images/COCO_train2014_000000521216.jpg | grey bear in compromising position | [192.46,145.63,382.04,423.31] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Bear at location [265, 46, 456, 424]
Detected grey bear at location [192, 146, 382, 427]
Select the coordinates for the target object based on this Caption:'grey bear in compromising position'
Caption: 'grey bear in compromising position'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Bear'] | Detected Bear at location [265, 46, 456, 424]
Detected grey bear in compromising position at location [192, 146, 382, 427]
| [
192,
146,
382,
427
] | Detected grey bear at location [192, 146, 382, 427] | Detected Bear at location [265, 46, 456, 424]
Detected grey bear at location [192, 146, 382, 427] | [
192,
146,
382,
427
] |
COCO_train2014_000000533525.jpg | refcoco_images/COCO_train2014_000000533525.jpg | far right zebra | [429.47,,87.8,,597.31,306.67] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Zebra at location [84, 61, 598, 362]
Detected Zebra at location [139, 142, 378, 361]
Detected Zebra at location [430, 87, 597, 306]
Detected Zebra at location [87, 63, 234, 261]
Detected zebra at location [429, 89, 597, 304]
Select the coordinates for the target object based on this Caption:'far right zebra'
Caption: 'far right zebra'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Zebra'] | Detected Zebra at location [84, 61, 598, 362]
Detected Zebra at location [139, 142, 378, 361]
Detected Zebra at location [430, 87, 597, 306]
Detected Zebra at location [87, 63, 234, 261]
Detected far right zebra at location [429, 89, 597, 304]
| [
429,
89,
597,
304
] | Detected zebra at location [429, 89, 597, 304] | Detected Zebra at location [84, 61, 598, 362]
Detected Zebra at location [139, 142, 378, 361]
Detected Zebra at location [430, 87, 597, 306]
Detected Zebra at location [87, 63, 234, 261]
Detected zebra at location [429, 89, 597, 304] | [
429,
89,
597,
304
] |
COCO_train2014_000000542221.jpg | refcoco_images/COCO_train2014_000000542221.jpg | main kid in pic | [138.87,,,0.,,,477.73,376.63] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Kid at location [136, 1, 478, 376]
Select the coordinates for the target object based on this Caption:'main kid in pic'
Caption: 'main kid in pic'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Kid'] | Detected Kid at location [136, 1, 478, 376]
| [
136,
1,
478,
376
] | Detected Kid at location [136, 1, 478, 376] | Detected Kid at location [136, 1, 478, 376] | [
136,
1,
478,
376
] |
COCO_train2014_000000532719.jpg | refcoco_images/COCO_train2014_000000532719.jpg | dark hair far right | [493.84,255.35,640.,,,536.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Hair at location [530, 251, 639, 419]
Detected Hair at location [391, 168, 494, 374]
Detected dark hair at location [485, 251, 639, 535]
Select the coordinates for the target object based on this Caption:'dark hair far right'
Caption: 'dark hair far right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Hair'] | Detected Hair at location [530, 251, 639, 419]
Detected Hair at location [391, 168, 494, 374]
Detected dark hair far right at location [485, 251, 639, 535]
| [
485,
251,
639,
535
] | Detected dark hair at location [485, 251, 639, 535] | Detected Hair at location [530, 251, 639, 419]
Detected Hair at location [391, 168, 494, 374]
Detected dark hair at location [485, 251, 639, 535] | [
485,
251,
639,
535
] |
COCO_train2014_000000542426.jpg | refcoco_images/COCO_train2014_000000542426.jpg | green hat kid | [124.1,,103.53,264.16,457.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Green hat at location [170, 101, 230, 166]
Detected Kid at location [121, 102, 267, 456]
Detected green hat at location [121, 103, 268, 456]
Select the coordinates for the target object based on this Caption:'green hat kid'
Caption: 'green hat kid'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Green hat', 'Kid'] | Detected Green hat at location [170, 101, 230, 166]
Detected Kid at location [121, 102, 267, 456]
Detected green hat kid at location [121, 103, 268, 456]
| [
121,
103,
268,
456
] | Detected green hat at location [121, 103, 268, 456] | Detected Green hat at location [170, 101, 230, 166]
Detected Kid at location [121, 102, 267, 456]
Detected green hat at location [121, 103, 268, 456] | [
121,
103,
268,
456
] |
COCO_train2014_000000574590.jpg | refcoco_images/COCO_train2014_000000574590.jpg | middel person | [213.57,146.7,,366.74,478.92] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Person at location [16, 142, 206, 479]
Detected Person at location [210, 146, 368, 479]
Detected middel person at location [213, 147, 366, 479]
Select the coordinates for the target object based on this Caption:'middel person'
Caption: 'middel person'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Person'] | Detected Person at location [16, 142, 206, 479]
Detected Person at location [210, 146, 368, 479]
Detected middel person at location [213, 147, 366, 479]
| [
213,
147,
366,
479
] | Detected middel person at location [213, 147, 366, 479] | Detected Person at location [16, 142, 206, 479]
Detected Person at location [210, 146, 368, 479]
Detected middel person at location [213, 147, 366, 479] | [
213,
147,
366,
479
] |
COCO_train2014_000000537157.jpg | refcoco_images/COCO_train2014_000000537157.jpg | multicolored scarf with white dotty-thingies | [399.86,136.36,549.83,450.2,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Scarf at location [34, 10, 599, 599]
Detected Scarf at location [33, 431, 437, 601]
Detected Dotty-thingies at location [33, 10, 599, 599]
Detected Dotty-thingies at location [33, 431, 436, 601]
Detected multicolored scarf at location [398, 135, 550, 450]
Select the coordinates for the target object based on this Caption:'multicolored scarf with white dotty-thingies'
Caption: 'multicolored scarf with white dotty-thingies'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Scarf', 'Dotty-thingies'] | Detected Scarf at location [34, 10, 599, 599]
Detected Scarf at location [33, 431, 437, 601]
Detected Dotty-thingies at location [33, 10, 599, 599]
Detected Dotty-thingies at location [33, 431, 436, 601]
Detected multicolored scarf with white dotty-thingies at location [398, 135, 550, 450]
| [
398,
135,
550,
450
] | Detected multicolored scarf at location [398, 135, 550, 450] | Detected Scarf at location [34, 10, 599, 599]
Detected Scarf at location [33, 431, 437, 601]
Detected Dotty-thingies at location [33, 10, 599, 599]
Detected Dotty-thingies at location [33, 431, 436, 601]
Detected multicolored scarf at location [398, 135, 550, 450] | [
398,
135,
550,
450
] |
COCO_train2014_000000545891.jpg | refcoco_images/COCO_train2014_000000545891.jpg | boy front left | [,49.77,151.72,182.83,417.82] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Boy at location [51, 153, 191, 424]
Detected boy at location [48, 151, 186, 424]
Select the coordinates for the target object based on this Caption:'boy front left'
Caption: 'boy front left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Boy'] | Detected Boy at location [51, 153, 191, 424]
Detected boy front left at location [48, 151, 186, 424]
| [
48,
151,
186,
424
] | Detected boy at location [48, 151, 186, 424] | Detected Boy at location [51, 153, 191, 424]
Detected boy at location [48, 151, 186, 424] | [
48,
151,
186,
424
] |
COCO_train2014_000000552354.jpg | refcoco_images/COCO_train2014_000000552354.jpg | kid on right | [352.16,,59.49,529.67,285.95] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Kid at location [31, 22, 372, 351]
Detected kid at location [359, 75, 547, 293]
Select the coordinates for the target object based on this Caption:'kid on right'
Caption: 'kid on right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Kid'] | Detected Kid at location [31, 22, 372, 351]
Detected kid on right at location [359, 75, 547, 293]
| [
359,
75,
547,
293
] | Detected kid at location [359, 75, 547, 293] | Detected Kid at location [31, 22, 372, 351]
Detected kid at location [359, 75, 547, 293] | [
359,
75,
547,
293
] |
COCO_train2014_000000565360.jpg | refcoco_images/COCO_train2014_000000565360.jpg | white shirt | [195.99,,26.3,,367.53,419.65] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected White shirt at location [197, 80, 367, 251]
Detected white shirt at location [196, 27, 366, 420]
Select the coordinates for the target object based on this Caption:'white shirt'
Caption: 'white shirt'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['White shirt', 'Shirt'] | Detected White shirt at location [197, 80, 367, 251]
Detected white shirt at location [196, 27, 366, 420]
| [
196,
27,
366,
420
] | Detected white shirt at location [196, 27, 366, 420] | Detected White shirt at location [197, 80, 367, 251]
Detected white shirt at location [196, 27, 366, 420] | [
196,
27,
366,
420
] |
COCO_train2014_000000569347.jpg | refcoco_images/COCO_train2014_000000569347.jpg | monk with umbrella on top | [215.83,150.32,314.71,402.27] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Monk at location [209, 75, 358, 406]
Detected Monk at location [210, 76, 357, 171]
Detected Umbrella at location [211, 78, 357, 171]
Detected monk at location [217, 151, 315, 401]
Select the coordinates for the target object based on this Caption:'monk with umbrella on top'
Caption: 'monk with umbrella on top'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Monk', 'Umbrella'] | Detected Monk at location [209, 75, 358, 406]
Detected Monk at location [210, 76, 357, 171]
Detected Umbrella at location [211, 78, 357, 171]
Detected monk with umbrella on top at location [217, 151, 315, 401]
| [
217,
151,
315,
401
] | Detected monk at location [217, 151, 315, 401] | Detected Monk at location [209, 75, 358, 406]
Detected Monk at location [210, 76, 357, 171]
Detected Umbrella at location [211, 78, 357, 171]
Detected monk at location [217, 151, 315, 401] | [
217,
151,
315,
401
] |
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