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_000000529772.jpg | refcoco_images/COCO_train2014_000000529772.jpg | batter | [335.,,,205.63,473.75,474.38] | <|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 [327, 209, 528, 479]
Detected Batter at location [329, 211, 474, 479]
Detected batter at location [328, 208, 473, 479]
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 [327, 209, 528, 479]
Detected Batter at location [329, 211, 474, 479]
Detected batter at location [328, 208, 473, 479]
| [
328,
208,
473,
479
] | Detected batter at location [328, 208, 473, 479] | Detected Batter at location [327, 209, 528, 479]
Detected Batter at location [329, 211, 474, 479]
Detected batter at location [328, 208, 473, 479] | [
328,
208,
473,
479
] |
COCO_train2014_000000533308.jpg | refcoco_images/COCO_train2014_000000533308.jpg | Horse in back | [,73.13,,,1.83,227.63,183.75] | <|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 Horse at location [370, 0, 639, 315]
Detected Horse at location [169, 16, 437, 341]
Detected Horse at location [73, 0, 226, 181]
Select the coordinates for the target object based on this Caption:'Horse in back'
Caption: 'Horse 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|>
| ['Horse'] | Detected Horse at location [370, 0, 639, 315]
Detected Horse at location [169, 16, 437, 341]
Detected Horse in back at location [73, 0, 226, 181]
| [
73,
0,
226,
181
] | Detected Horse at location [73, 0, 226, 181] | Detected Horse at location [370, 0, 639, 315]
Detected Horse at location [169, 16, 437, 341]
Detected Horse at location [73, 0, 226, 181] | [
73,
0,
226,
181
] |
COCO_train2014_000000559720.jpg | refcoco_images/COCO_train2014_000000559720.jpg | red umbrella | [,21.57,159.64,205.66,274.7,] | <|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 Umbrella at location [165, 165, 362, 345]
Detected Umbrella at location [23, 158, 207, 277]
Detected red umbrella at location [24, 161, 206, 289]
Select the coordinates for the target object based on this Caption:'red umbrella'
Caption: '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 [165, 165, 362, 345]
Detected Umbrella at location [23, 158, 207, 277]
Detected red umbrella at location [24, 161, 206, 289]
| [
24,
161,
206,
289
] | Detected red umbrella at location [24, 161, 206, 289] | Detected Umbrella at location [165, 165, 362, 345]
Detected Umbrella at location [23, 158, 207, 277]
Detected red umbrella at location [24, 161, 206, 289] | [
24,
161,
206,
289
] |
COCO_train2014_000000550298.jpg | refcoco_images/COCO_train2014_000000550298.jpg | peaches | [,24.06,,24.,,,569.53,480.,,] | <|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 Peaches at location [21, 0, 639, 476]
Detected peaches at location [4, 0, 639, 479]
Select the coordinates for the target object based on this Caption:'peaches'
Caption: 'peaches'
. 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|>
| ['Peaches'] | Detected Peaches at location [21, 0, 639, 476]
Detected peaches at location [4, 0, 639, 479]
| [
4,
0,
639,
479
] | Detected peaches at location [4, 0, 639, 479] | Detected Peaches at location [21, 0, 639, 476]
Detected peaches at location [4, 0, 639, 479] | [
4,
0,
639,
479
] |
COCO_train2014_000000545721.jpg | refcoco_images/COCO_train2014_000000545721.jpg | top pizza (not just slice) | [179.07,,59.97,413.69,148.9,] | <|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 Pizza at location [293, 161, 639, 411]
Detected pizza at location [180, 60, 413, 149]
Select the coordinates for the target object based on this Caption:'top pizza (not just slice)'
Caption: 'top pizza (not just slice)'
. 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|>
| ['Pizza'] | Detected Pizza at location [293, 161, 639, 411]
Detected top pizza (not just slice) at location [180, 60, 413, 149]
| [
180,
60,
413,
149
] | Detected pizza at location [180, 60, 413, 149] | Detected Pizza at location [293, 161, 639, 411]
Detected pizza at location [180, 60, 413, 149] | [
180,
60,
413,
149
] |
COCO_train2014_000000567145.jpg | refcoco_images/COCO_train2014_000000567145.jpg | lower left edge of photo | [,17.88,484.1,,298.44,587.24] | <|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 photo at location [21, 490, 304, 593]
Select the coordinates for the target object based on this Caption:'lower left edge of photo'
Caption: 'lower left edge of 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|>
| [] | Detected lower left edge of photo at location [21, 490, 304, 593]
| [
21,
490,
304,
593
] | Detected photo at location [21, 490, 304, 593] | Detected photo at location [21, 490, 304, 593] | [
21,
490,
304,
593
] |
COCO_train2014_000000543272.jpg | refcoco_images/COCO_train2014_000000543272.jpg | woman in pink shirt with back pack | [445.41,240.54,538.38,475.14] | <|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 [224, 216, 457, 479]
Detected shirt at location [451, 278, 533, 417]
Detected woman in pink shirt at location [448, 241, 542, 479]
Select the coordinates for the target object based on this Caption:'woman in pink shirt with back pack'
Caption: 'woman in pink shirt with back pack'
. 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', 'Pink shirt', 'Back pack'] | Detected Woman at location [224, 216, 457, 479]
Detected shirt at location [451, 278, 533, 417]
Detected woman in pink shirt with back pack at location [448, 241, 542, 479]
| [
448,
241,
542,
479
] | Detected woman in pink shirt at location [448, 241, 542, 479] | Detected Woman at location [224, 216, 457, 479]
Detected shirt at location [451, 278, 533, 417]
Detected woman in pink shirt at location [448, 241, 542, 479] | [
448,
241,
542,
479
] |
COCO_train2014_000000575627.jpg | refcoco_images/COCO_train2014_000000575627.jpg | striped shirt | [403.99,243.82,639.95,473.,,] | <|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 [409, 345, 638, 471]
Detected striped shirt at location [409, 345, 638, 471]
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 [409, 345, 638, 471]
Detected striped shirt at location [409, 345, 638, 471]
| [
409,
345,
638,
471
] | Detected striped shirt at location [409, 345, 638, 471] | Detected Striped shirt at location [409, 345, 638, 471]
Detected striped shirt at location [409, 345, 638, 471] | [
409,
345,
638,
471
] |
COCO_train2014_000000561818.jpg | refcoco_images/COCO_train2014_000000561818.jpg | roght giraffee | [331.61,108.63,551.74,363.06] | <|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 [72, 75, 548, 364]
Detected Giraffe at location [74, 77, 382, 357]
Detected giraffe at location [328, 108, 546, 360]
Select the coordinates for the target object based on this Caption:'roght giraffee'
Caption: 'roght giraffee'
. 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 [72, 75, 548, 364]
Detected Giraffe at location [74, 77, 382, 357]
Detected roght giraffee at location [328, 108, 546, 360]
| [
328,
108,
546,
360
] | Detected giraffe at location [328, 108, 546, 360] | Detected Giraffe at location [72, 75, 548, 364]
Detected Giraffe at location [74, 77, 382, 357]
Detected giraffe at location [328, 108, 546, 360] | [
328,
108,
546,
360
] |
COCO_train2014_000000569774.jpg | refcoco_images/COCO_train2014_000000569774.jpg | the girl | [141.3,,,93.91,373.21,289.15] | <|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 Girl at location [140, 92, 373, 290]
Detected girl at location [140, 93, 375, 292]
Select the coordinates for the target object based on this Caption:'the girl'
Caption: 'the 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 [140, 92, 373, 290]
Detected the girl at location [140, 93, 375, 292]
| [
140,
93,
375,
292
] | Detected girl at location [140, 93, 375, 292] | Detected Girl at location [140, 92, 373, 290]
Detected girl at location [140, 93, 375, 292] | [
140,
93,
375,
292
] |
COCO_train2014_000000548240.jpg | refcoco_images/COCO_train2014_000000548240.jpg | dark vehicle | [,,2.78,165.67,245.73,569.66] | <|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 Vehicle at location [72, 2, 479, 639]
Detected dark vehicle at location [0, 165, 245, 569]
Select the coordinates for the target object based on this Caption:'dark vehicle'
Caption: 'dark vehicle'
. 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|>
| ['Vehicle'] | Detected Vehicle at location [72, 2, 479, 639]
Detected dark vehicle at location [0, 165, 245, 569]
| [
0,
165,
245,
569
] | Detected dark vehicle at location [0, 165, 245, 569] | Detected Vehicle at location [72, 2, 479, 639]
Detected dark vehicle at location [0, 165, 245, 569] | [
0,
165,
245,
569
] |
COCO_train2014_000000531096.jpg | refcoco_images/COCO_train2014_000000531096.jpg | what dog sittin gin | [175.2,246.,,535.2,476.4] | <|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 [306, 141, 478, 301]
Detected dog at location [176, 244, 535, 479]
Select the coordinates for the target object based on this Caption:'what dog sittin gin'
Caption: 'what dog sittin gin'
. 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 [306, 141, 478, 301]
Detected what dog sittin gin at location [176, 244, 535, 479]
| [
176,
244,
535,
479
] | Detected dog at location [176, 244, 535, 479] | Detected Dog at location [306, 141, 478, 301]
Detected dog at location [176, 244, 535, 479] | [
176,
244,
535,
479
] |
COCO_train2014_000000527010.jpg | refcoco_images/COCO_train2014_000000527010.jpg | Person at right | [377.3,,,,0.,,,426.,,,457.12] | <|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 Person at location [122, 55, 270, 484]
Detected Person at location [379, 0, 425, 455]
Select the coordinates for the target object based on this Caption:'Person at right'
Caption: 'Person at 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|>
| ['Person'] | Detected Person at location [122, 55, 270, 484]
Detected Person at right at location [379, 0, 425, 455]
| [
379,
0,
425,
455
] | Detected Person at location [379, 0, 425, 455] | Detected Person at location [122, 55, 270, 484]
Detected Person at location [379, 0, 425, 455] | [
379,
0,
425,
455
] |
COCO_train2014_000000535130.jpg | refcoco_images/COCO_train2014_000000535130.jpg | patient | [329.93,,67.18,500.,,,289.12] | <|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 Patient at location [72, 2, 342, 479]
Detected Patient at location [414, 84, 638, 378]
Detected patient at location [414, 85, 638, 380]
Select the coordinates for the target object based on this Caption:'patient'
Caption: 'patient'
. 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|>
| ['Patient'] | Detected Patient at location [72, 2, 342, 479]
Detected Patient at location [414, 84, 638, 378]
Detected patient at location [414, 85, 638, 380]
| [
414,
85,
638,
380
] | Detected patient at location [414, 85, 638, 380] | Detected Patient at location [72, 2, 342, 479]
Detected Patient at location [414, 84, 638, 378]
Detected patient at location [414, 85, 638, 380] | [
414,
85,
638,
380
] |
COCO_train2014_000000552116.jpg | refcoco_images/COCO_train2014_000000552116.jpg | left | [,47.73,,,0.,,,188.69,305.48] | <|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 [47, 0, 188, 306]
Select the coordinates for the target object based on this Caption:'left'
Caption: '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|>
| [] | Detected left at location [47, 0, 188, 306]
| [
47,
0,
188,
306
] | Detected at location [47, 0, 188, 306] | Detected at location [47, 0, 188, 306] | [
47,
0,
188,
306
] |
COCO_train2014_000000520767.jpg | refcoco_images/COCO_train2014_000000520767.jpg | giraffe feeder | [107.47,113.07,308.98,284.83] | <|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 [292, 203, 639, 375]
Detected Feeder at location [292, 203, 638, 375]
Detected giraffe feeder at location [107, 113, 309, 285]
Select the coordinates for the target object based on this Caption:'giraffe feeder'
Caption: 'giraffe feeder'
. 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', 'Feeder'] | Detected Giraffe at location [292, 203, 639, 375]
Detected Feeder at location [292, 203, 638, 375]
Detected giraffe feeder at location [107, 113, 309, 285]
| [
107,
113,
309,
285
] | Detected giraffe feeder at location [107, 113, 309, 285] | Detected Giraffe at location [292, 203, 639, 375]
Detected Feeder at location [292, 203, 638, 375]
Detected giraffe feeder at location [107, 113, 309, 285] | [
107,
113,
309,
285
] |
COCO_train2014_000000544968.jpg | refcoco_images/COCO_train2014_000000544968.jpg | white triangle on back of middle chair | [260.25,289.89,376.88,420.01] | <|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 Triangle at location [257, 283, 379, 426]
Detected chair at location [257, 283, 379, 426]
Detected white triangle at location [261, 290, 375, 420]
Select the coordinates for the target object based on this Caption:'white triangle on back of middle chair'
Caption: 'white triangle on back of middle 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|>
| ['Triangle', 'Chair'] | Detected Triangle at location [257, 283, 379, 426]
Detected chair at location [257, 283, 379, 426]
Detected white triangle on back of middle chair at location [261, 290, 375, 420]
| [
261,
290,
375,
420
] | Detected white triangle at location [261, 290, 375, 420] | Detected Triangle at location [257, 283, 379, 426]
Detected chair at location [257, 283, 379, 426]
Detected white triangle at location [261, 290, 375, 420] | [
261,
290,
375,
420
] |
COCO_train2014_000000563444.jpg | refcoco_images/COCO_train2014_000000563444.jpg | top carrot | [167.15,232.73,554.54,469.91] | <|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 Carrot at location [166, 231, 585, 479]
Detected Carrot at location [167, 233, 555, 467]
Detected Carrot at location [286, 259, 585, 479]
Detected carrot at location [167, 233, 554, 469]
Select the coordinates for the target object based on this Caption:'top carrot'
Caption: 'top carrot'
. 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|>
| ['Carrot'] | Detected Carrot at location [166, 231, 585, 479]
Detected Carrot at location [167, 233, 555, 467]
Detected Carrot at location [286, 259, 585, 479]
Detected top carrot at location [167, 233, 554, 469]
| [
167,
233,
554,
469
] | Detected carrot at location [167, 233, 554, 469] | Detected Carrot at location [166, 231, 585, 479]
Detected Carrot at location [167, 233, 555, 467]
Detected Carrot at location [286, 259, 585, 479]
Detected carrot at location [167, 233, 554, 469] | [
167,
233,
554,
469
] |
COCO_train2014_000000576973.jpg | refcoco_images/COCO_train2014_000000576973.jpg | bending guy playing | [118.65,131.72,367.82,472.57] | <|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 Guy at location [110, 126, 369, 479]
Detected guy at location [115, 131, 368, 479]
Select the coordinates for the target object based on this Caption:'bending guy playing'
Caption: 'bending guy playing'
. 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 [110, 126, 369, 479]
Detected bending guy playing at location [115, 131, 368, 479]
| [
115,
131,
368,
479
] | Detected guy at location [115, 131, 368, 479] | Detected Guy at location [110, 126, 369, 479]
Detected guy at location [115, 131, 368, 479] | [
115,
131,
368,
479
] |
COCO_train2014_000000550239.jpg | refcoco_images/COCO_train2014_000000550239.jpg | bottom section of cake on the right | [368.64,251.91,585.03,428.,,] | <|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 Cake at location [195, 146, 510, 420]
Detected cake at location [368, 253, 582, 426]
Select the coordinates for the target object based on this Caption:'bottom section of cake on the right'
Caption: 'bottom section of cake 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|>
| ['Cake'] | Detected Cake at location [195, 146, 510, 420]
Detected bottom section of cake on the right at location [368, 253, 582, 426]
| [
368,
253,
582,
426
] | Detected cake at location [368, 253, 582, 426] | Detected Cake at location [195, 146, 510, 420]
Detected cake at location [368, 253, 582, 426] | [
368,
253,
582,
426
] |
COCO_train2014_000000546723.jpg | refcoco_images/COCO_train2014_000000546723.jpg | sheep fr rigth in front | [359.13,162.09,481.6,,321.32] | <|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 Sheep at location [25, 120, 639, 408]
Detected sheep at location [458, 208, 618, 412]
Select the coordinates for the target object based on this Caption:'sheep fr rigth in front'
Caption: 'sheep fr rigth 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|>
| ['Sheep'] | Detected Sheep at location [25, 120, 639, 408]
Detected sheep fr rigth in front at location [458, 208, 618, 412]
| [
458,
208,
618,
412
] | Detected sheep at location [458, 208, 618, 412] | Detected Sheep at location [25, 120, 639, 408]
Detected sheep at location [458, 208, 618, 412] | [
458,
208,
618,
412
] |
COCO_train2014_000000562826.jpg | refcoco_images/COCO_train2014_000000562826.jpg | right side of the left umbrella | [,48.73,,,0.51,154.88,259.22] | <|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 Umbrella at location [142, 0, 390, 172]
Detected Umbrella at location [411, 0, 639, 12]
Detected umbrella at location [46, 0, 158, 260]
Select the coordinates for the target object based on this Caption:'right side of the left umbrella'
Caption: 'right side of the left 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 [142, 0, 390, 172]
Detected Umbrella at location [411, 0, 639, 12]
Detected right side of the left umbrella at location [46, 0, 158, 260]
| [
46,
0,
158,
260
] | Detected umbrella at location [46, 0, 158, 260] | Detected Umbrella at location [142, 0, 390, 172]
Detected Umbrella at location [411, 0, 639, 12]
Detected umbrella at location [46, 0, 158, 260] | [
46,
0,
158,
260
] |
COCO_train2014_000000546651.jpg | refcoco_images/COCO_train2014_000000546651.jpg | woman on right | [324.47,126.88,460.8,,310.47] | <|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 [52, 103, 232, 404]
Detected Woman at location [414, 162, 591, 400]
Detected woman at location [416, 163, 590, 400]
Select the coordinates for the target object based on this Caption:'woman on right'
Caption: 'woman 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|>
| ['Woman'] | Detected Woman at location [52, 103, 232, 404]
Detected Woman at location [414, 162, 591, 400]
Detected woman on right at location [416, 163, 590, 400]
| [
416,
163,
590,
400
] | Detected woman at location [416, 163, 590, 400] | Detected Woman at location [52, 103, 232, 404]
Detected Woman at location [414, 162, 591, 400]
Detected woman at location [416, 163, 590, 400] | [
416,
163,
590,
400
] |
COCO_train2014_000000572587.jpg | refcoco_images/COCO_train2014_000000572587.jpg | Baby blue shirt | [176.52,,42.32,449.03,412.9,] | <|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 Baby blue shirt at location [176, 113, 434, 334]
Detected blue shirt at location [176, 42, 446, 412]
Select the coordinates for the target object based on this Caption:'Baby blue shirt'
Caption: 'Baby blue 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|>
| ['Baby blue shirt', 'Shirt'] | Detected Baby blue shirt at location [176, 113, 434, 334]
Detected Baby blue shirt at location [176, 42, 446, 412]
| [
176,
42,
446,
412
] | Detected blue shirt at location [176, 42, 446, 412] | Detected Baby blue shirt at location [176, 113, 434, 334]
Detected blue shirt at location [176, 42, 446, 412] | [
176,
42,
446,
412
] |
COCO_train2014_000000541690.jpg | refcoco_images/COCO_train2014_000000541690.jpg | person in black shirt | [386.83,120.41,471.74,361.,,] | <|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 Black shirt at location [391, 156, 474, 267]
Detected person at location [387, 120, 471, 360]
Select the coordinates for the target object based on this Caption:'person in black shirt'
Caption: 'person in black 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|>
| ['Black shirt', 'Shirt'] | Detected Black shirt at location [391, 156, 474, 267]
Detected person in black shirt at location [387, 120, 471, 360]
| [
387,
120,
471,
360
] | Detected person at location [387, 120, 471, 360] | Detected Black shirt at location [391, 156, 474, 267]
Detected person at location [387, 120, 471, 360] | [
387,
120,
471,
360
] |
COCO_train2014_000000537157.jpg | refcoco_images/COCO_train2014_000000537157.jpg | upper right purple cloth | [449.48,,10.42,598.79,327.96] | <|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 Purple cloth at location [35, 10, 599, 599]
Detected purple cloth at location [449, 10, 600, 328]
Select the coordinates for the target object based on this Caption:'upper right purple cloth'
Caption: 'upper right purple cloth'
. 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|>
| ['Purple cloth'] | Detected Purple cloth at location [35, 10, 599, 599]
Detected upper right purple cloth at location [449, 10, 600, 328]
| [
449,
10,
600,
328
] | Detected purple cloth at location [449, 10, 600, 328] | Detected Purple cloth at location [35, 10, 599, 599]
Detected purple cloth at location [449, 10, 600, 328] | [
449,
10,
600,
328
] |
COCO_train2014_000000525179.jpg | refcoco_images/COCO_train2014_000000525179.jpg | woman on right | [326.83,106.46,475.69,356.7,] | <|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 Woman at location [325, 107, 475, 359]
Detected woman at location [327, 106, 475, 355]
Select the coordinates for the target object based on this Caption:'woman on right'
Caption: 'woman 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|>
| ['Woman'] | Detected Woman at location [325, 107, 475, 359]
Detected woman on right at location [327, 106, 475, 355]
| [
327,
106,
475,
355
] | Detected woman at location [327, 106, 475, 355] | Detected Woman at location [325, 107, 475, 359]
Detected woman at location [327, 106, 475, 355] | [
327,
106,
475,
355
] |
COCO_train2014_000000541367.jpg | refcoco_images/COCO_train2014_000000541367.jpg | bottom right money eyes | [428.58,225.91,595.72,393.46] | <|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 Money at location [277, 258, 338, 317]
Detected Eyes at location [277, 258, 337, 317]
Detected money at location [425, 227, 596, 395]
Select the coordinates for the target object based on this Caption:'bottom right money eyes'
Caption: 'bottom right money eyes'
. 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|>
| ['Money', 'Eyes'] | Detected Money at location [277, 258, 338, 317]
Detected Eyes at location [277, 258, 337, 317]
Detected bottom right money eyes at location [425, 227, 596, 395]
| [
425,
227,
596,
395
] | Detected money at location [425, 227, 596, 395] | Detected Money at location [277, 258, 338, 317]
Detected Eyes at location [277, 258, 337, 317]
Detected money at location [425, 227, 596, 395] | [
425,
227,
596,
395
] |
COCO_train2014_000000519974.jpg | refcoco_images/COCO_train2014_000000519974.jpg | red mo mo bike | [,18.3,,,25.96,493.99,453.22] | <|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 Bike at location [23, 21, 639, 454]
Detected Bike at location [25, 24, 486, 455]
Detected red mo mo bike at location [19, 28, 494, 452]
Select the coordinates for the target object based on this Caption:'red mo mo bike'
Caption: 'red mo mo bike'
. 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|>
| ['Bike'] | Detected Bike at location [23, 21, 639, 454]
Detected Bike at location [25, 24, 486, 455]
Detected red mo mo bike at location [19, 28, 494, 452]
| [
19,
28,
494,
452
] | Detected red mo mo bike at location [19, 28, 494, 452] | Detected Bike at location [23, 21, 639, 454]
Detected Bike at location [25, 24, 486, 455]
Detected red mo mo bike at location [19, 28, 494, 452] | [
19,
28,
494,
452
] |
COCO_train2014_000000523524.jpg | refcoco_images/COCO_train2014_000000523524.jpg | guy in white shirt | [359.35,,33.27,519.05,285.04] | <|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 White shirt at location [379, 98, 521, 284]
Detected guy in white shirt at location [360, 34, 519, 285]
Select the coordinates for the target object based on this Caption:'guy in white shirt'
Caption: 'guy in 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 [379, 98, 521, 284]
Detected guy in white shirt at location [360, 34, 519, 285]
| [
360,
34,
519,
285
] | Detected guy in white shirt at location [360, 34, 519, 285] | Detected White shirt at location [379, 98, 521, 284]
Detected guy in white shirt at location [360, 34, 519, 285] | [
360,
34,
519,
285
] |
COCO_train2014_000000577953.jpg | refcoco_images/COCO_train2014_000000577953.jpg | batter | [185.34,113.97,482.52,464.41] | <|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 [187, 117, 484, 466]
Detected batter at location [184, 114, 482, 465]
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 [187, 117, 484, 466]
Detected batter at location [184, 114, 482, 465]
| [
184,
114,
482,
465
] | Detected batter at location [184, 114, 482, 465] | Detected Batter at location [187, 117, 484, 466]
Detected batter at location [184, 114, 482, 465] | [
184,
114,
482,
465
] |
COCO_train2014_000000519685.jpg | refcoco_images/COCO_train2014_000000519685.jpg | woman on left | [100.03,,23.06,223.92,326.77] | <|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 Woman at location [194, 12, 419, 424]
Detected woman at location [128, 28, 288, 419]
Select the coordinates for the target object based on this Caption:'woman on left'
Caption: 'woman 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|>
| ['Woman'] | Detected Woman at location [194, 12, 419, 424]
Detected woman on left at location [128, 28, 288, 419]
| [
128,
28,
288,
419
] | Detected woman at location [128, 28, 288, 419] | Detected Woman at location [194, 12, 419, 424]
Detected woman at location [128, 28, 288, 419] | [
128,
28,
288,
419
] |
COCO_train2014_000000569529.jpg | refcoco_images/COCO_train2014_000000569529.jpg | wood slats on left side | [,,2.15,,,1.08,315.34,473.54] | <|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 Wood slats at location [0, 0, 639, 475]
Detected wood slats at location [0, 0, 316, 479]
Select the coordinates for the target object based on this Caption:'wood slats on left side'
Caption: 'wood slats on left side'
. 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|>
| ['Wood slats'] | Detected Wood slats at location [0, 0, 639, 475]
Detected wood slats on left side at location [0, 0, 316, 479]
| [
0,
0,
316,
479
] | Detected wood slats at location [0, 0, 316, 479] | Detected Wood slats at location [0, 0, 639, 475]
Detected wood slats at location [0, 0, 316, 479] | [
0,
0,
316,
479
] |
COCO_train2014_000000540582.jpg | refcoco_images/COCO_train2014_000000540582.jpg | first bear on the left | [198.2,,,55.28,458.43,427.42] | <|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 Bear at location [199, 51, 465, 426]
Detected bear at location [201, 54, 464, 429]
Select the coordinates for the target object based on this Caption:'first bear on the left'
Caption: 'first bear 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|>
| ['Bear'] | Detected Bear at location [199, 51, 465, 426]
Detected first bear on the left at location [201, 54, 464, 429]
| [
201,
54,
464,
429
] | Detected bear at location [201, 54, 464, 429] | Detected Bear at location [199, 51, 465, 426]
Detected bear at location [201, 54, 464, 429] | [
201,
54,
464,
429
] |
COCO_train2014_000000518807.jpg | refcoco_images/COCO_train2014_000000518807.jpg | banana in center of the group of three | [453.,,,,56.51,618.88,208.11] | <|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 Banana at location [278, 21, 619, 279]
Detected banana at location [454, 58, 619, 208]
Select the coordinates for the target object based on this Caption:'banana in center of the group of three'
Caption: 'banana in center of the group of three'
. 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|>
| ['Banana', 'Group'] | Detected Banana at location [278, 21, 619, 279]
Detected banana in center of the group of three at location [454, 58, 619, 208]
| [
454,
58,
619,
208
] | Detected banana at location [454, 58, 619, 208] | Detected Banana at location [278, 21, 619, 279]
Detected banana at location [454, 58, 619, 208] | [
454,
58,
619,
208
] |
COCO_train2014_000000517115.jpg | refcoco_images/COCO_train2014_000000517115.jpg | guy in white | [170.04,118.39,414.35,479.78] | <|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 Guy at location [165, 116, 414, 479]
Detected guy in white at location [169, 119, 412, 479]
Select the coordinates for the target object based on this Caption:'guy in white'
Caption: 'guy in white'
. 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', 'White'] | Detected Guy at location [165, 116, 414, 479]
Detected guy in white at location [169, 119, 412, 479]
| [
169,
119,
412,
479
] | Detected guy in white at location [169, 119, 412, 479] | Detected Guy at location [165, 116, 414, 479]
Detected guy in white at location [169, 119, 412, 479] | [
169,
119,
412,
479
] |
COCO_train2014_000000536458.jpg | refcoco_images/COCO_train2014_000000536458.jpg | blue bag left | [,28.78,267.73,213.91,405.3,] | <|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 bag at location [25, 266, 211, 402]
Detected blue bag at location [28, 268, 213, 405]
Select the coordinates for the target object based on this Caption:'blue bag left'
Caption: 'blue bag 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|>
| ['Blue bag'] | Detected Blue bag at location [25, 266, 211, 402]
Detected blue bag left at location [28, 268, 213, 405]
| [
28,
268,
213,
405
] | Detected blue bag at location [28, 268, 213, 405] | Detected Blue bag at location [25, 266, 211, 402]
Detected blue bag at location [28, 268, 213, 405] | [
28,
268,
213,
405
] |
COCO_train2014_000000562463.jpg | refcoco_images/COCO_train2014_000000562463.jpg | right one | [415.28,,61.18,546.88,420.37] | <|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 One at location [414, 59, 545, 419]
Detected one at location [416, 61, 545, 420]
Select the coordinates for the target object based on this Caption:'right one'
Caption: 'right 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 [414, 59, 545, 419]
Detected right one at location [416, 61, 545, 420]
| [
416,
61,
545,
420
] | Detected one at location [416, 61, 545, 420] | Detected One at location [414, 59, 545, 419]
Detected one at location [416, 61, 545, 420] | [
416,
61,
545,
420
] |
COCO_train2014_000000567287.jpg | refcoco_images/COCO_train2014_000000567287.jpg | BOTTOM LEFT ORANGE UMB. | [,,0.96,236.91,296.73,369.96] | <|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 Orange Umbrella at location [279, 60, 639, 193]
Detected Orange Umbrella at location [2, 236, 301, 373]
Detected Orange Umbrella at location [189, 166, 460, 305]
Detected Orange Umbrella at location [2, 262, 301, 372]
Select the coordinates for the target object based on this Caption:'BOTTOM LEFT ORANGE UMB.'
Caption: 'BOTTOM LEFT ORANGE UMB.'
. 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 Umbrella'] | Detected Orange Umbrella at location [279, 60, 639, 193]
Detected Orange Umbrella at location [2, 236, 301, 373]
Detected Orange Umbrella at location [189, 166, 460, 305]
Detected Orange Umbrella at location [2, 262, 301, 372]
| [
2,
262,
301,
372
] | Detected Orange Umbrella at location [2, 262, 301, 372] | Detected Orange Umbrella at location [279, 60, 639, 193]
Detected Orange Umbrella at location [2, 236, 301, 373]
Detected Orange Umbrella at location [189, 166, 460, 305]
Detected Orange Umbrella at location [2, 262, 301, 372] | [
2,
262,
301,
372
] |
COCO_train2014_000000519832.jpg | refcoco_images/COCO_train2014_000000519832.jpg | pink donut | [,20.68,317.03,234.32,497.59] | <|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 Donut at location [19, 314, 235, 494]
Detected Donut at location [369, 310, 565, 492]
Detected pink donut at location [20, 317, 235, 494]
Select the coordinates for the target object based on this Caption:'pink donut'
Caption: 'pink 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 [19, 314, 235, 494]
Detected Donut at location [369, 310, 565, 492]
Detected pink donut at location [20, 317, 235, 494]
| [
20,
317,
235,
494
] | Detected pink donut at location [20, 317, 235, 494] | Detected Donut at location [19, 314, 235, 494]
Detected Donut at location [369, 310, 565, 492]
Detected pink donut at location [20, 317, 235, 494] | [
20,
317,
235,
494
] |
COCO_train2014_000000580609.jpg | refcoco_images/COCO_train2014_000000580609.jpg | left guy in white | [,,1.66,,,1.66,159.58,154.6,] | <|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 Guy at location [59, 47, 322, 639]
Detected guy in white at location [0, 0, 159, 162]
Select the coordinates for the target object based on this Caption:'left guy in white'
Caption: 'left guy in white'
. 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', 'White'] | Detected Guy at location [59, 47, 322, 639]
Detected left guy in white at location [0, 0, 159, 162]
| [
0,
0,
159,
162
] | Detected guy in white at location [0, 0, 159, 162] | Detected Guy at location [59, 47, 322, 639]
Detected guy in white at location [0, 0, 159, 162] | [
0,
0,
159,
162
] |
COCO_train2014_000000552346.jpg | refcoco_images/COCO_train2014_000000552346.jpg | guy standing | [261.03,121.71,396.94,388.13] | <|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 [261, 119, 398, 386]
Detected guy at location [261, 122, 396, 387]
Select the coordinates for the target object based on this Caption:'guy standing'
Caption: 'guy standing'
. 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 [261, 119, 398, 386]
Detected guy standing at location [261, 122, 396, 387]
| [
261,
122,
396,
387
] | Detected guy at location [261, 122, 396, 387] | Detected Guy at location [261, 119, 398, 386]
Detected guy at location [261, 122, 396, 387] | [
261,
122,
396,
387
] |
COCO_train2014_000000550355.jpg | refcoco_images/COCO_train2014_000000550355.jpg | left guy | [,,0.,,,132.54,249.98,355.82] | <|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 Guy at location [2, 132, 249, 359]
Detected guy at location [0, 134, 247, 359]
Select the coordinates for the target object based on this Caption:'left guy'
Caption: 'left 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 [2, 132, 249, 359]
Detected left guy at location [0, 134, 247, 359]
| [
0,
134,
247,
359
] | Detected guy at location [0, 134, 247, 359] | Detected Guy at location [2, 132, 249, 359]
Detected guy at location [0, 134, 247, 359] | [
0,
134,
247,
359
] |
COCO_train2014_000000520843.jpg | refcoco_images/COCO_train2014_000000520843.jpg | second left board | [157.75,116.18,260.08,375.19] | <|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 Board at location [70, 1, 163, 390]
Detected second left board at location [70, 1, 163, 390]
Select the coordinates for the target object based on this Caption:'second left board'
Caption: 'second left 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|>
| ['Board'] | Detected Board at location [70, 1, 163, 390]
Detected second left board at location [70, 1, 163, 390]
| [
70,
1,
163,
390
] | Detected second left board at location [70, 1, 163, 390] | Detected Board at location [70, 1, 163, 390]
Detected second left board at location [70, 1, 163, 390] | [
70,
1,
163,
390
] |
COCO_train2014_000000574747.jpg | refcoco_images/COCO_train2014_000000574747.jpg | left elephant | [,,6.78,,54.87,203.33,417.96] | <|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 Elephant at location [0, 54, 639, 422]
Detected Elephant at location [367, 104, 639, 423]
Detected Elephant at location [0, 56, 205, 420]
Detected elephant at location [0, 56, 203, 417]
Select the coordinates for the target object based on this Caption:'left elephant'
Caption: 'left elephant'
. 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 [0, 54, 639, 422]
Detected Elephant at location [367, 104, 639, 423]
Detected Elephant at location [0, 56, 205, 420]
Detected left elephant at location [0, 56, 203, 417]
| [
0,
56,
203,
417
] | Detected elephant at location [0, 56, 203, 417] | Detected Elephant at location [0, 54, 639, 422]
Detected Elephant at location [367, 104, 639, 423]
Detected Elephant at location [0, 56, 205, 420]
Detected elephant at location [0, 56, 203, 417] | [
0,
56,
203,
417
] |
COCO_train2014_000000516685.jpg | refcoco_images/COCO_train2014_000000516685.jpg | The man in the white shirt | [125.7,,,22.07,539.27,421.24] | <|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 Man at location [126, 19, 533, 426]
Detected shirt at location [142, 126, 391, 426]
Detected man in white shirt at location [126, 21, 537, 426]
Select the coordinates for the target object based on this Caption:'The man in the white shirt'
Caption: 'The man in the 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|>
| ['Man', 'White shirt', 'Shirt'] | Detected Man at location [126, 19, 533, 426]
Detected shirt at location [142, 126, 391, 426]
Detected The man in the white shirt at location [126, 21, 537, 426]
| [
126,
21,
537,
426
] | Detected man in white shirt at location [126, 21, 537, 426] | Detected Man at location [126, 19, 533, 426]
Detected shirt at location [142, 126, 391, 426]
Detected man in white shirt at location [126, 21, 537, 426] | [
126,
21,
537,
426
] |
COCO_train2014_000000564153.jpg | refcoco_images/COCO_train2014_000000564153.jpg | umpire | [,,2.74,,80.09,140.01,313.06] | <|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 Umpire at location [2, 76, 141, 317]
Detected umpire at location [2, 77, 143, 320]
Select the coordinates for the target object based on this Caption:'umpire'
Caption: 'umpire'
. 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|>
| ['Umpire'] | Detected Umpire at location [2, 76, 141, 317]
Detected umpire at location [2, 77, 143, 320]
| [
2,
77,
143,
320
] | Detected umpire at location [2, 77, 143, 320] | Detected Umpire at location [2, 76, 141, 317]
Detected umpire at location [2, 77, 143, 320] | [
2,
77,
143,
320
] |
COCO_train2014_000000534347.jpg | refcoco_images/COCO_train2014_000000534347.jpg | left cat | [102.13,101.74,258.45,419.84] | <|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 Cat at location [411, 100, 612, 419]
Detected Cat at location [101, 101, 259, 419]
Detected cat at location [102, 102, 257, 419]
Select the coordinates for the target object based on this Caption:'left cat'
Caption: 'left cat'
. 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|>
| ['Cat'] | Detected Cat at location [411, 100, 612, 419]
Detected Cat at location [101, 101, 259, 419]
Detected left cat at location [102, 102, 257, 419]
| [
102,
102,
257,
419
] | Detected cat at location [102, 102, 257, 419] | Detected Cat at location [411, 100, 612, 419]
Detected Cat at location [101, 101, 259, 419]
Detected cat at location [102, 102, 257, 419] | [
102,
102,
257,
419
] |
COCO_train2014_000000527970.jpg | refcoco_images/COCO_train2014_000000527970.jpg | guy on the right | [152.81,,,1.75,640.,,,387.59] | <|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 Guy at location [150, 0, 639, 424]
Detected guy at location [152, 0, 639, 391]
Select the coordinates for the target object based on this Caption:'guy on the right'
Caption: 'guy 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|>
| ['Guy'] | Detected Guy at location [150, 0, 639, 424]
Detected guy on the right at location [152, 0, 639, 391]
| [
152,
0,
639,
391
] | Detected guy at location [152, 0, 639, 391] | Detected Guy at location [150, 0, 639, 424]
Detected guy at location [152, 0, 639, 391] | [
152,
0,
639,
391
] |
COCO_train2014_000000572252.jpg | refcoco_images/COCO_train2014_000000572252.jpg | guy on left | [,,0.,,,,92.86,297.72,420.26] | <|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 Guy at location [326, 51, 616, 424]
Detected Guy at location [2, 90, 297, 425]
Detected guy at location [0, 92, 296, 425]
Select the coordinates for the target object based on this Caption:'guy on left'
Caption: 'guy 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|>
| ['Guy'] | Detected Guy at location [326, 51, 616, 424]
Detected Guy at location [2, 90, 297, 425]
Detected guy on left at location [0, 92, 296, 425]
| [
0,
92,
296,
425
] | Detected guy at location [0, 92, 296, 425] | Detected Guy at location [326, 51, 616, 424]
Detected Guy at location [2, 90, 297, 425]
Detected guy at location [0, 92, 296, 425] | [
0,
92,
296,
425
] |
COCO_train2014_000000522312.jpg | refcoco_images/COCO_train2014_000000522312.jpg | Fridge with no ice maker | [149.91,224.14,253.69,410.09] | <|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 Fridge at location [19, 192, 132, 487]
Detected Fridge at location [145, 219, 253, 411]
Detected Fridge at location [150, 226, 253, 409]
Select the coordinates for the target object based on this Caption:'Fridge with no ice maker'
Caption: 'Fridge with no ice maker'
. 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|>
| ['Fridge'] | Detected Fridge at location [19, 192, 132, 487]
Detected Fridge at location [145, 219, 253, 411]
Detected Fridge with no ice maker at location [150, 226, 253, 409]
| [
150,
226,
253,
409
] | Detected Fridge at location [150, 226, 253, 409] | Detected Fridge at location [19, 192, 132, 487]
Detected Fridge at location [145, 219, 253, 411]
Detected Fridge at location [150, 226, 253, 409] | [
150,
226,
253,
409
] |
COCO_train2014_000000576128.jpg | refcoco_images/COCO_train2014_000000576128.jpg | left elephant. thanks for being a good partner | [,88.28,168.18,419.04,384.43] | <|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 [85, 167, 420, 385]
Detected elephant at location [88, 168, 418, 384]
Select the coordinates for the target object based on this Caption:'left elephant. thanks for being a good partner'
Caption: 'left elephant. thanks for being a good partner'
. 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 [85, 167, 420, 385]
Detected left elephant. thanks for being a good partner at location [88, 168, 418, 384]
| [
88,
168,
418,
384
] | Detected elephant at location [88, 168, 418, 384] | Detected Elephant at location [85, 167, 420, 385]
Detected elephant at location [88, 168, 418, 384] | [
88,
168,
418,
384
] |
COCO_train2014_000000521674.jpg | refcoco_images/COCO_train2014_000000521674.jpg | middle donut | [176.22,,44.32,438.92,280.,,] | <|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 [171, 39, 444, 281]
Detected middle donut at location [172, 41, 443, 282]
Select the coordinates for the target object based on this Caption:'middle donut'
Caption: 'middle 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 [171, 39, 444, 281]
Detected middle donut at location [172, 41, 443, 282]
| [
172,
41,
443,
282
] | Detected middle donut at location [172, 41, 443, 282] | Detected Donut at location [171, 39, 444, 281]
Detected middle donut at location [172, 41, 443, 282] | [
172,
41,
443,
282
] |
COCO_train2014_000000576689.jpg | refcoco_images/COCO_train2014_000000576689.jpg | red pants right | [432.75,207.35,568.05,396.35] | <|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 Red pants at location [453, 295, 564, 378]
Detected Red pants at location [197, 270, 250, 343]
Detected red pants at location [430, 210, 564, 390]
Select the coordinates for the target object based on this Caption:'red pants right'
Caption: 'red pants 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|>
| ['Red pants'] | Detected Red pants at location [453, 295, 564, 378]
Detected Red pants at location [197, 270, 250, 343]
Detected red pants right at location [430, 210, 564, 390]
| [
430,
210,
564,
390
] | Detected red pants at location [430, 210, 564, 390] | Detected Red pants at location [453, 295, 564, 378]
Detected Red pants at location [197, 270, 250, 343]
Detected red pants at location [430, 210, 564, 390] | [
430,
210,
564,
390
] |
COCO_train2014_000000551125.jpg | refcoco_images/COCO_train2014_000000551125.jpg | Middle toilet | [278.39,174.63,396.34,387.98] | <|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 Toilet at location [68, 166, 612, 390]
Detected Toilet at location [464, 174, 609, 388]
Detected Toilet at location [70, 174, 208, 390]
Detected Toilet at location [275, 174, 398, 388]
Detected Middle toilet at location [278, 175, 395, 387]
Select the coordinates for the target object based on this Caption:'Middle toilet'
Caption: 'Middle toilet'
. 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|>
| ['Toilet'] | Detected Toilet at location [68, 166, 612, 390]
Detected Toilet at location [464, 174, 609, 388]
Detected Toilet at location [70, 174, 208, 390]
Detected Toilet at location [275, 174, 398, 388]
Detected Middle toilet at location [278, 175, 395, 387]
| [
278,
175,
395,
387
] | Detected Middle toilet at location [278, 175, 395, 387] | Detected Toilet at location [68, 166, 612, 390]
Detected Toilet at location [464, 174, 609, 388]
Detected Toilet at location [70, 174, 208, 390]
Detected Toilet at location [275, 174, 398, 388]
Detected Middle toilet at location [278, 175, 395, 387] | [
278,
175,
395,
387
] |
COCO_train2014_000000567870.jpg | refcoco_images/COCO_train2014_000000567870.jpg | BABY | [190.84,249.86,341.43,388.47] | <|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 Baby at location [80, 130, 442, 498]
Detected Baby at location [242, 316, 437, 498]
Select the coordinates for the target object based on this Caption:'BABY'
Caption: 'BABY'
. 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|>
| ['Baby'] | Detected Baby at location [80, 130, 442, 498]
Detected Baby at location [242, 316, 437, 498]
| [
242,
316,
437,
498
] | Detected Baby at location [242, 316, 437, 498] | Detected Baby at location [80, 130, 442, 498]
Detected Baby at location [242, 316, 437, 498] | [
242,
316,
437,
498
] |
COCO_train2014_000000551063.jpg | refcoco_images/COCO_train2014_000000551063.jpg | left zebra | [,43.42,,91.86,340.85,415.34] | <|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 Zebra at location [39, 27, 578, 435]
Detected Zebra at location [166, 30, 574, 435]
Detected Zebra at location [41, 84, 341, 417]
Detected zebra at location [43, 85, 341, 417]
Select the coordinates for the target object based on this Caption:'left zebra'
Caption: 'left 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 [39, 27, 578, 435]
Detected Zebra at location [166, 30, 574, 435]
Detected Zebra at location [41, 84, 341, 417]
Detected left zebra at location [43, 85, 341, 417]
| [
43,
85,
341,
417
] | Detected zebra at location [43, 85, 341, 417] | Detected Zebra at location [39, 27, 578, 435]
Detected Zebra at location [166, 30, 574, 435]
Detected Zebra at location [41, 84, 341, 417]
Detected zebra at location [43, 85, 341, 417] | [
43,
85,
341,
417
] |
COCO_train2014_000000552623.jpg | refcoco_images/COCO_train2014_000000552623.jpg | foremost man | [160.,,,132.97,405.41,473.51] | <|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 [160, 133, 405, 479]
Detected man at location [160, 134, 405, 479]
Select the coordinates for the target object based on this Caption:'foremost man'
Caption: 'foremost man'
. 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 [160, 133, 405, 479]
Detected foremost man at location [160, 134, 405, 479]
| [
160,
134,
405,
479
] | Detected man at location [160, 134, 405, 479] | Detected Man at location [160, 133, 405, 479]
Detected man at location [160, 134, 405, 479] | [
160,
134,
405,
479
] |
COCO_train2014_000000545145.jpg | refcoco_images/COCO_train2014_000000545145.jpg | PersThe man behind | [,,1.92,,56.26,234.66,348.62] | <|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 [256, 0, 485, 423]
Detected man at location [2, 57, 234, 349]
Select the coordinates for the target object based on this Caption:'PersThe man behind'
Caption: 'PersThe man behind'
. 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 [256, 0, 485, 423]
Detected PersThe man behind at location [2, 57, 234, 349]
| [
2,
57,
234,
349
] | Detected man at location [2, 57, 234, 349] | Detected Man at location [256, 0, 485, 423]
Detected man at location [2, 57, 234, 349] | [
2,
57,
234,
349
] |
COCO_train2014_000000576138.jpg | refcoco_images/COCO_train2014_000000576138.jpg | beer | [110.69,340.18,422.91,486.25] | <|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 Beer at location [196, 347, 239, 433]
Detected beer at location [295, 512, 422, 639]
Detected beer at location [323, 373, 377, 466]
Detected beer at location [196, 347, 243, 436]
Detected beer at location [301, 340, 347, 427]
Detected beer at location [257, 331, 287, 358]
Select the coordinates for the target object based on this Caption:'beer'
Caption: '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|>
| ['Beer'] | Detected Beer at location [196, 347, 239, 433]
Detected beer at location [295, 512, 422, 639]
Detected beer at location [323, 373, 377, 466]
Detected beer at location [196, 347, 243, 436]
Detected beer at location [301, 340, 347, 427]
Detected beer at location [257, 331, 287, 358]
| [
257,
331,
287,
358
] | Detected beer at location [257, 331, 287, 358] | Detected Beer at location [196, 347, 239, 433]
Detected beer at location [295, 512, 422, 639]
Detected beer at location [323, 373, 377, 466]
Detected beer at location [196, 347, 243, 436]
Detected beer at location [301, 340, 347, 427]
Detected beer at location [257, 331, 287, 358] | [
257,
331,
287,
358
] |
COCO_train2014_000000556542.jpg | refcoco_images/COCO_train2014_000000556542.jpg | Person on horse | [196.48,,66.09,439.19,459.05] | <|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 [197, 64, 437, 617]
Detected Person at location [201, 66, 435, 460]
Detected Horse at location [204, 194, 390, 617]
Detected Person at location [201, 68, 435, 459]
Select the coordinates for the target object based on this Caption:'Person on horse'
Caption: 'Person on horse'
. 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', 'Horse'] | Detected Person at location [197, 64, 437, 617]
Detected Person at location [201, 66, 435, 460]
Detected Horse at location [204, 194, 390, 617]
Detected Person on horse at location [201, 68, 435, 459]
| [
201,
68,
435,
459
] | Detected Person at location [201, 68, 435, 459] | Detected Person at location [197, 64, 437, 617]
Detected Person at location [201, 66, 435, 460]
Detected Horse at location [204, 194, 390, 617]
Detected Person at location [201, 68, 435, 459] | [
201,
68,
435,
459
] |
COCO_train2014_000000552291.jpg | refcoco_images/COCO_train2014_000000552291.jpg | grey shirt lady in middle with black pants | [287.96,177.8,,436.76,425.17] | <|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 Grey shirt at location [284, 228, 394, 382]
Detected grey shirt lady at location [285, 179, 435, 429]
Select the coordinates for the target object based on this Caption:'grey shirt lady in middle with black pants'
Caption: 'grey shirt lady in middle with black pants'
. 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|>
| ['Grey shirt', 'Lady', 'Black pants'] | Detected Grey shirt at location [284, 228, 394, 382]
Detected grey shirt lady in middle with black pants at location [285, 179, 435, 429]
| [
285,
179,
435,
429
] | Detected grey shirt lady at location [285, 179, 435, 429] | Detected Grey shirt at location [284, 228, 394, 382]
Detected grey shirt lady at location [285, 179, 435, 429] | [
285,
179,
435,
429
] |
COCO_train2014_000000552245.jpg | refcoco_images/COCO_train2014_000000552245.jpg | player wearing red | [253.89,,85.11,381.8,,349.58] | <|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 Player at location [277, 85, 407, 344]
Detected player at location [254, 88, 404, 362]
Select the coordinates for the target object based on this Caption:'player wearing red'
Caption: 'player wearing red'
. 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|>
| ['Player', 'Red'] | Detected Player at location [277, 85, 407, 344]
Detected player wearing red at location [254, 88, 404, 362]
| [
254,
88,
404,
362
] | Detected player at location [254, 88, 404, 362] | Detected Player at location [277, 85, 407, 344]
Detected player at location [254, 88, 404, 362] | [
254,
88,
404,
362
] |
COCO_train2014_000000531037.jpg | refcoco_images/COCO_train2014_000000531037.jpg | MAN ON LEFT | [,,1.24,,,8.7,,402.63,545.54] | <|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 [0, 2, 391, 552]
Detected MAN at location [0, 5, 405, 552]
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 [0, 2, 391, 552]
Detected MAN ON LEFT at location [0, 5, 405, 552]
| [
0,
5,
405,
552
] | Detected MAN at location [0, 5, 405, 552] | Detected Man at location [0, 2, 391, 552]
Detected MAN at location [0, 5, 405, 552] | [
0,
5,
405,
552
] |
COCO_train2014_000000537055.jpg | refcoco_images/COCO_train2014_000000537055.jpg | man | [,,4.31,,,2.16,400.18,473.53] | <|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 Man at location [2, 0, 402, 478]
Detected man at location [0, 0, 399, 479]
Select the coordinates for the target object based on this Caption:'man'
Caption: 'man'
. 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 [2, 0, 402, 478]
Detected man at location [0, 0, 399, 479]
| [
0,
0,
399,
479
] | Detected man at location [0, 0, 399, 479] | Detected Man at location [2, 0, 402, 478]
Detected man at location [0, 0, 399, 479] | [
0,
0,
399,
479
] |
COCO_train2014_000000570457.jpg | refcoco_images/COCO_train2014_000000570457.jpg | man plaid shirt | [222.92,103.55,457.35,467.42] | <|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 Man at location [222, 101, 455, 468]
Detected man at location [223, 103, 453, 469]
Select the coordinates for the target object based on this Caption:'man plaid shirt'
Caption: 'man 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|>
| ['Man', 'Plaid shirt', 'Shirt'] | Detected Man at location [222, 101, 455, 468]
Detected man plaid shirt at location [223, 103, 453, 469]
| [
223,
103,
453,
469
] | Detected man at location [223, 103, 453, 469] | Detected Man at location [222, 101, 455, 468]
Detected man at location [223, 103, 453, 469] | [
223,
103,
453,
469
] |
COCO_train2014_000000547797.jpg | refcoco_images/COCO_train2014_000000547797.jpg | second guy from right | [345.4,,,77.1,,540.02,439.61] | <|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 Guy at location [345, 71, 544, 441]
Detected guy at location [345, 77, 540, 440]
Select the coordinates for the target object based on this Caption:'second guy from right'
Caption: 'second guy from 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 [345, 71, 544, 441]
Detected second guy from right at location [345, 77, 540, 440]
| [
345,
77,
540,
440
] | Detected guy at location [345, 77, 540, 440] | Detected Guy at location [345, 71, 544, 441]
Detected guy at location [345, 77, 540, 440] | [
345,
77,
540,
440
] |
COCO_train2014_000000562393.jpg | refcoco_images/COCO_train2014_000000562393.jpg | Zebra with its butt on the left side | [,52.26,,11.72,294.32,313.56] | <|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 [60, 11, 510, 410]
Detected Zebra at location [79, 75, 504, 410]
Detected Zebra at location [65, 13, 380, 400]
Detected Zebra at location [68, 15, 376, 405]
Select the coordinates for the target object based on this Caption:'Zebra with its butt on the left side'
Caption: 'Zebra with its butt on the left side'
. 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 [60, 11, 510, 410]
Detected Zebra at location [79, 75, 504, 410]
Detected Zebra at location [65, 13, 380, 400]
Detected Zebra with its butt on the left side at location [68, 15, 376, 405]
| [
68,
15,
376,
405
] | Detected Zebra at location [68, 15, 376, 405] | Detected Zebra at location [60, 11, 510, 410]
Detected Zebra at location [79, 75, 504, 410]
Detected Zebra at location [65, 13, 380, 400]
Detected Zebra at location [68, 15, 376, 405] | [
68,
15,
376,
405
] |
COCO_train2014_000000568389.jpg | refcoco_images/COCO_train2014_000000568389.jpg | far right of photo plaid shirt | [543.43,,86.91,638.93,419.27] | <|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 Plaid shirt at location [543, 120, 639, 419]
Detected plaid shirt at location [542, 75, 639, 424]
Select the coordinates for the target object based on this Caption:'far right of photo plaid shirt'
Caption: 'far right of photo 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|>
| ['Plaid shirt'] | Detected Plaid shirt at location [543, 120, 639, 419]
Detected far right of photo plaid shirt at location [542, 75, 639, 424]
| [
542,
75,
639,
424
] | Detected plaid shirt at location [542, 75, 639, 424] | Detected Plaid shirt at location [543, 120, 639, 419]
Detected plaid shirt at location [542, 75, 639, 424] | [
542,
75,
639,
424
] |
COCO_train2014_000000528851.jpg | refcoco_images/COCO_train2014_000000528851.jpg | black jacket man | [126.71,,37.79,279.19,292.28] | <|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 Black jacket at location [122, 34, 280, 292]
Detected Black jacket at location [123, 78, 272, 244]
Detected Man at location [122, 34, 279, 292]
Detected black jacket at location [121, 37, 280, 293]
Select the coordinates for the target object based on this Caption:'black jacket man'
Caption: 'black jacket man'
. 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|>
| ['Black jacket', 'Man'] | Detected Black jacket at location [122, 34, 280, 292]
Detected Black jacket at location [123, 78, 272, 244]
Detected Man at location [122, 34, 279, 292]
Detected black jacket man at location [121, 37, 280, 293]
| [
121,
37,
280,
293
] | Detected black jacket at location [121, 37, 280, 293] | Detected Black jacket at location [122, 34, 280, 292]
Detected Black jacket at location [123, 78, 272, 244]
Detected Man at location [122, 34, 279, 292]
Detected black jacket at location [121, 37, 280, 293] | [
121,
37,
280,
293
] |
COCO_train2014_000000532286.jpg | refcoco_images/COCO_train2014_000000532286.jpg | the man holding food on the left | [100.94,144.09,297.45,480.,,] | <|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 Man at location [101, 141, 299, 479]
Detected man at location [100, 144, 296, 479]
Select the coordinates for the target object based on this Caption:'the man holding food on the left'
Caption: 'the man holding food 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|>
| ['Man', 'Food'] | Detected Man at location [101, 141, 299, 479]
Detected the man holding food on the left at location [100, 144, 296, 479]
| [
100,
144,
296,
479
] | Detected man at location [100, 144, 296, 479] | Detected Man at location [101, 141, 299, 479]
Detected man at location [100, 144, 296, 479] | [
100,
144,
296,
479
] |
COCO_train2014_000000529277.jpg | refcoco_images/COCO_train2014_000000529277.jpg | man | [,15.36,,73.83,489.95,480.,,] | <|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 Man at location [13, 73, 492, 479]
Detected man at location [39, 219, 96, 312]
Select the coordinates for the target object based on this Caption:'man'
Caption: 'man'
. 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 [13, 73, 492, 479]
Detected man at location [39, 219, 96, 312]
| [
39,
219,
96,
312
] | Detected man at location [39, 219, 96, 312] | Detected Man at location [13, 73, 492, 479]
Detected man at location [39, 219, 96, 312] | [
39,
219,
96,
312
] |
COCO_train2014_000000535517.jpg | refcoco_images/COCO_train2014_000000535517.jpg | right person | [391.05,104.31,499.16,350.93] | <|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 [30, 48, 181, 472]
Detected Person at location [314, 96, 448, 462]
Detected Person at location [182, 80, 304, 454]
Detected person at location [495, 131, 639, 450]
Select the coordinates for the target object based on this Caption:'right person'
Caption: '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 [30, 48, 181, 472]
Detected Person at location [314, 96, 448, 462]
Detected Person at location [182, 80, 304, 454]
Detected right person at location [495, 131, 639, 450]
| [
495,
131,
639,
450
] | Detected person at location [495, 131, 639, 450] | Detected Person at location [30, 48, 181, 472]
Detected Person at location [314, 96, 448, 462]
Detected Person at location [182, 80, 304, 454]
Detected person at location [495, 131, 639, 450] | [
495,
131,
639,
450
] |
COCO_train2014_000000517882.jpg | refcoco_images/COCO_train2014_000000517882.jpg | right tallest tree | [317.53,,,0.,,,464.61,327.27] | <|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 Tree at location [401, 0, 591, 425]
Detected tallest tree at location [407, 0, 594, 425]
Select the coordinates for the target object based on this Caption:'right tallest tree'
Caption: 'right tallest tree'
. 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|>
| ['Tree'] | Detected Tree at location [401, 0, 591, 425]
Detected right tallest tree at location [407, 0, 594, 425]
| [
407,
0,
594,
425
] | Detected tallest tree at location [407, 0, 594, 425] | Detected Tree at location [401, 0, 591, 425]
Detected tallest tree at location [407, 0, 594, 425] | [
407,
0,
594,
425
] |
COCO_train2014_000000560138.jpg | refcoco_images/COCO_train2014_000000560138.jpg | lighter teddy bear to right | [263.41,,47.14,499.13,328.51] | <|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 Lighter at location [0, 0, 639, 422]
Detected Lighter at location [0, 4, 450, 423]
Detected teddy bear at location [0, 0, 452, 423]
Detected teddy bear at location [338, 60, 639, 421]
Select the coordinates for the target object based on this Caption:'lighter teddy bear to right'
Caption: 'lighter teddy bear to 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|>
| ['Lighter', 'Teddy bear'] | Detected Lighter at location [0, 0, 639, 422]
Detected Lighter at location [0, 4, 450, 423]
Detected teddy bear at location [0, 0, 452, 423]
Detected lighter teddy bear to right at location [338, 60, 639, 421]
| [
338,
60,
639,
421
] | Detected teddy bear at location [338, 60, 639, 421] | Detected Lighter at location [0, 0, 639, 422]
Detected Lighter at location [0, 4, 450, 423]
Detected teddy bear at location [0, 0, 452, 423]
Detected teddy bear at location [338, 60, 639, 421] | [
338,
60,
639,
421
] |
COCO_train2014_000000570457.jpg | refcoco_images/COCO_train2014_000000570457.jpg | woman | [123.86,151.63,256.58,358.56] | <|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 [125, 156, 258, 358]
Detected woman at location [126, 158, 258, 359]
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 [125, 156, 258, 358]
Detected woman at location [126, 158, 258, 359]
| [
126,
158,
258,
359
] | Detected woman at location [126, 158, 258, 359] | Detected Woman at location [125, 156, 258, 358]
Detected woman at location [126, 158, 258, 359] | [
126,
158,
258,
359
] |
COCO_train2014_000000579186.jpg | refcoco_images/COCO_train2014_000000579186.jpg | chair bottom left | [,,0.,,,321.67,213.87,504.83] | <|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 Chair at location [2, 310, 213, 509]
Detected chair at location [0, 317, 213, 509]
Select the coordinates for the target object based on this Caption:'chair bottom left'
Caption: 'chair bottom 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|>
| ['Chair'] | Detected Chair at location [2, 310, 213, 509]
Detected chair bottom left at location [0, 317, 213, 509]
| [
0,
317,
213,
509
] | Detected chair at location [0, 317, 213, 509] | Detected Chair at location [2, 310, 213, 509]
Detected chair at location [0, 317, 213, 509] | [
0,
317,
213,
509
] |
COCO_train2014_000000518110.jpg | refcoco_images/COCO_train2014_000000518110.jpg | blue envelope under book | [253.35,261.98,516.29,401.13] | <|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 envelope at location [249, 258, 516, 404]
Detected Book at location [2, 241, 403, 427]
Detected blue envelope at location [254, 262, 515, 401]
Select the coordinates for the target object based on this Caption:'blue envelope under book'
Caption: 'blue envelope under book'
. 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 envelope', 'Book'] | Detected Blue envelope at location [249, 258, 516, 404]
Detected Book at location [2, 241, 403, 427]
Detected blue envelope under book at location [254, 262, 515, 401]
| [
254,
262,
515,
401
] | Detected blue envelope at location [254, 262, 515, 401] | Detected Blue envelope at location [249, 258, 516, 404]
Detected Book at location [2, 241, 403, 427]
Detected blue envelope at location [254, 262, 515, 401] | [
254,
262,
515,
401
] |
COCO_train2014_000000517198.jpg | refcoco_images/COCO_train2014_000000517198.jpg | boy closest | [122.82,,,1.63,265.8,,266.46] | <|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 Boy at location [120, 0, 279, 286]
Detected boy at location [124, 0, 267, 267]
Select the coordinates for the target object based on this Caption:'boy closest'
Caption: 'boy closest'
. 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 [120, 0, 279, 286]
Detected boy closest at location [124, 0, 267, 267]
| [
124,
0,
267,
267
] | Detected boy at location [124, 0, 267, 267] | Detected Boy at location [120, 0, 279, 286]
Detected boy at location [124, 0, 267, 267] | [
124,
0,
267,
267
] |
COCO_train2014_000000578037.jpg | refcoco_images/COCO_train2014_000000578037.jpg | man in tank top skate boarding | [244.14,,61.27,342.75,382.96] | <|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 Man at location [242, 61, 343, 395]
Detected tank top at location [256, 101, 321, 209]
Detected Skateboard at location [249, 356, 329, 397]
Detected man at location [243, 62, 343, 383]
Select the coordinates for the target object based on this Caption:'man in tank top skate boarding'
Caption: 'man in tank top skate boarding'
. 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', 'Tank top', 'Skateboard'] | Detected Man at location [242, 61, 343, 395]
Detected tank top at location [256, 101, 321, 209]
Detected Skateboard at location [249, 356, 329, 397]
Detected man in tank top skate boarding at location [243, 62, 343, 383]
| [
243,
62,
343,
383
] | Detected man at location [243, 62, 343, 383] | Detected Man at location [242, 61, 343, 395]
Detected tank top at location [256, 101, 321, 209]
Detected Skateboard at location [249, 356, 329, 397]
Detected man at location [243, 62, 343, 383] | [
243,
62,
343,
383
] |
COCO_train2014_000000571355.jpg | refcoco_images/COCO_train2014_000000571355.jpg | cow on the left of the picture | [105.29,199.94,207.48,472.46] | <|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 Cow at location [236, 188, 410, 479]
Detected cow at location [105, 198, 206, 469]
Select the coordinates for the target object based on this Caption:'cow on the left of the picture'
Caption: 'cow on the left of the picture'
. 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|>
| ['Cow'] | Detected Cow at location [236, 188, 410, 479]
Detected cow on the left of the picture at location [105, 198, 206, 469]
| [
105,
198,
206,
469
] | Detected cow at location [105, 198, 206, 469] | Detected Cow at location [236, 188, 410, 479]
Detected cow at location [105, 198, 206, 469] | [
105,
198,
206,
469
] |
COCO_train2014_000000524320.jpg | refcoco_images/COCO_train2014_000000524320.jpg | ladys leg | [237.3,,359.31,442.97,631.13] | <|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 [234, 96, 479, 639]
Detected Leg at location [156, 307, 209, 542]
Detected ladys leg at location [239, 359, 442, 636]
Select the coordinates for the target object based on this Caption:'ladys leg'
Caption: 'ladys leg'
. 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', 'Leg'] | Detected Lady at location [234, 96, 479, 639]
Detected Leg at location [156, 307, 209, 542]
Detected ladys leg at location [239, 359, 442, 636]
| [
239,
359,
442,
636
] | Detected ladys leg at location [239, 359, 442, 636] | Detected Lady at location [234, 96, 479, 639]
Detected Leg at location [156, 307, 209, 542]
Detected ladys leg at location [239, 359, 442, 636] | [
239,
359,
442,
636
] |
COCO_train2014_000000569214.jpg | refcoco_images/COCO_train2014_000000569214.jpg | 4th glass from left | [243.54,,56.2,,381.84,288.25] | <|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 Glass at location [4, 51, 528, 422]
Detected glass at location [162, 71, 316, 331]
Select the coordinates for the target object based on this Caption:'4th glass from left'
Caption: '4th glass from 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|>
| ['Glass'] | Detected Glass at location [4, 51, 528, 422]
Detected 4th glass from left at location [162, 71, 316, 331]
| [
162,
71,
316,
331
] | Detected glass at location [162, 71, 316, 331] | Detected Glass at location [4, 51, 528, 422]
Detected glass at location [162, 71, 316, 331] | [
162,
71,
316,
331
] |
COCO_train2014_000000518215.jpg | refcoco_images/COCO_train2014_000000518215.jpg | giraffe farthest left | [,92.76,,79.01,276.13,310.92] | <|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 Giraffe at location [308, 59, 521, 334]
Detected giraffe at location [93, 79, 273, 310]
Select the coordinates for the target object based on this Caption:'giraffe farthest left'
Caption: 'giraffe farthest 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|>
| ['Giraffe'] | Detected Giraffe at location [308, 59, 521, 334]
Detected giraffe farthest left at location [93, 79, 273, 310]
| [
93,
79,
273,
310
] | Detected giraffe at location [93, 79, 273, 310] | Detected Giraffe at location [308, 59, 521, 334]
Detected giraffe at location [93, 79, 273, 310] | [
93,
79,
273,
310
] |
COCO_train2014_000000554351.jpg | refcoco_images/COCO_train2014_000000554351.jpg | right top most case | [415.42,,,5.19,620.9,,126.33] | <|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 Case at location [258, 97, 489, 280]
Detected Case at location [414, 7, 619, 126]
Detected Case at location [382, 77, 601, 176]
Detected Case at location [309, 28, 377, 136]
Detected case at location [415, 7, 619, 126]
Select the coordinates for the target object based on this Caption:'right top most case'
Caption: 'right top most case'
. 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|>
| ['Case'] | Detected Case at location [258, 97, 489, 280]
Detected Case at location [414, 7, 619, 126]
Detected Case at location [382, 77, 601, 176]
Detected Case at location [309, 28, 377, 136]
Detected right top most case at location [415, 7, 619, 126]
| [
415,
7,
619,
126
] | Detected case at location [415, 7, 619, 126] | Detected Case at location [258, 97, 489, 280]
Detected Case at location [414, 7, 619, 126]
Detected Case at location [382, 77, 601, 176]
Detected Case at location [309, 28, 377, 136]
Detected case at location [415, 7, 619, 126] | [
415,
7,
619,
126
] |
COCO_train2014_000000522897.jpg | refcoco_images/COCO_train2014_000000522897.jpg | bed on the right | [258.88,165.03,577.08,318.2,] | <|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 Bed at location [3, 203, 454, 479]
Detected Bed at location [260, 162, 575, 341]
Detected bed at location [260, 165, 576, 318]
Select the coordinates for the target object based on this Caption:'bed on the right'
Caption: 'bed 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|>
| ['Bed'] | Detected Bed at location [3, 203, 454, 479]
Detected Bed at location [260, 162, 575, 341]
Detected bed on the right at location [260, 165, 576, 318]
| [
260,
165,
576,
318
] | Detected bed at location [260, 165, 576, 318] | Detected Bed at location [3, 203, 454, 479]
Detected Bed at location [260, 162, 575, 341]
Detected bed at location [260, 165, 576, 318] | [
260,
165,
576,
318
] |
COCO_train2014_000000571246.jpg | refcoco_images/COCO_train2014_000000571246.jpg | person in red | [434.7,,,,0.,,,640.,,,473.53] | <|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 Red at location [435, 2, 639, 479]
Detected person in red at location [435, 0, 639, 479]
Select the coordinates for the target object based on this Caption:'person in red'
Caption: 'person in red'
. 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'] | Detected Red at location [435, 2, 639, 479]
Detected person in red at location [435, 0, 639, 479]
| [
435,
0,
639,
479
] | Detected person in red at location [435, 0, 639, 479] | Detected Red at location [435, 2, 639, 479]
Detected person in red at location [435, 0, 639, 479] | [
435,
0,
639,
479
] |
COCO_train2014_000000565699.jpg | refcoco_images/COCO_train2014_000000565699.jpg | front of bus on right | [407.49,325.37,623.7,,398.13] | <|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 Bus at location [2, 305, 297, 376]
Detected Bus at location [406, 324, 628, 397]
Detected bus at location [408, 326, 627, 397]
Select the coordinates for the target object based on this Caption:'front of bus on right'
Caption: 'front of bus 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|>
| ['Bus'] | Detected Bus at location [2, 305, 297, 376]
Detected Bus at location [406, 324, 628, 397]
Detected front of bus on right at location [408, 326, 627, 397]
| [
408,
326,
627,
397
] | Detected bus at location [408, 326, 627, 397] | Detected Bus at location [2, 305, 297, 376]
Detected Bus at location [406, 324, 628, 397]
Detected bus at location [408, 326, 627, 397] | [
408,
326,
627,
397
] |
COCO_train2014_000000526877.jpg | refcoco_images/COCO_train2014_000000526877.jpg | second bike from front | [,37.07,249.46,499.92,427.,,] | <|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 Bike at location [8, 180, 615, 424]
Detected bike at location [35, 231, 500, 426]
Select the coordinates for the target object based on this Caption:'second bike from front'
Caption: 'second bike from 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|>
| ['Bike'] | Detected Bike at location [8, 180, 615, 424]
Detected second bike from front at location [35, 231, 500, 426]
| [
35,
231,
500,
426
] | Detected bike at location [35, 231, 500, 426] | Detected Bike at location [8, 180, 615, 424]
Detected bike at location [35, 231, 500, 426] | [
35,
231,
500,
426
] |
COCO_train2014_000000558211.jpg | refcoco_images/COCO_train2014_000000558211.jpg | guy in yellow | [,44.16,,82.87,322.47,450.52] | <|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 [46, 82, 325, 456]
Detected guy in yellow at location [44, 83, 322, 456]
Select the coordinates for the target object based on this Caption:'guy in yellow'
Caption: 'guy in yellow'
. 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', 'Yellow'] | Detected Guy at location [46, 82, 325, 456]
Detected guy in yellow at location [44, 83, 322, 456]
| [
44,
83,
322,
456
] | Detected guy in yellow at location [44, 83, 322, 456] | Detected Guy at location [46, 82, 325, 456]
Detected guy in yellow at location [44, 83, 322, 456] | [
44,
83,
322,
456
] |
COCO_train2014_000000547297.jpg | refcoco_images/COCO_train2014_000000547297.jpg | brocoli on the spoon. To the right | [335.35,,67.58,507.67,159.65] | <|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 Broccoli at location [4, 12, 638, 305]
Detected brocoli at location [427, 187, 638, 304]
Select the coordinates for the target object based on this Caption:'brocoli on the spoon. To the right'
Caption: 'brocoli on the spoon. To 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|>
| ['Broccoli', 'Spoon'] | Detected Broccoli at location [4, 12, 638, 305]
Detected brocoli on the spoon. To the right at location [427, 187, 638, 304]
| [
427,
187,
638,
304
] | Detected brocoli at location [427, 187, 638, 304] | Detected Broccoli at location [4, 12, 638, 305]
Detected brocoli at location [427, 187, 638, 304] | [
427,
187,
638,
304
] |
COCO_train2014_000000552453.jpg | refcoco_images/COCO_train2014_000000552453.jpg | Guy in black near stairs | [303.51,129.38,415.93,401.42] | <|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 [300, 126, 420, 402]
Detected Guy in black at location [303, 129, 415, 400]
Select the coordinates for the target object based on this Caption:'Guy in black near stairs'
Caption: 'Guy in black near stairs'
. 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', 'Black', 'Stairs'] | Detected Guy at location [300, 126, 420, 402]
Detected Guy in black near stairs at location [303, 129, 415, 400]
| [
303,
129,
415,
400
] | Detected Guy in black at location [303, 129, 415, 400] | Detected Guy at location [300, 126, 420, 402]
Detected Guy in black at location [303, 129, 415, 400] | [
303,
129,
415,
400
] |
COCO_train2014_000000566377.jpg | refcoco_images/COCO_train2014_000000566377.jpg | Right kid | [482.57,,71.86,640.,,,428.,,] | <|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 [92, 10, 355, 424]
Detected kid at location [482, 73, 638, 427]
Select the coordinates for the target object based on this Caption:'Right kid'
Caption: 'Right 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|>
| ['Kid'] | Detected Kid at location [92, 10, 355, 424]
Detected Right kid at location [482, 73, 638, 427]
| [
482,
73,
638,
427
] | Detected kid at location [482, 73, 638, 427] | Detected Kid at location [92, 10, 355, 424]
Detected kid at location [482, 73, 638, 427] | [
482,
73,
638,
427
] |
COCO_train2014_000000553533.jpg | refcoco_images/COCO_train2014_000000553533.jpg | right cow | [231.75,110.69,595.88,360.64] | <|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 Cow at location [231, 111, 596, 362]
Detected cow at location [232, 111, 594, 360]
Select the coordinates for the target object based on this Caption:'right cow'
Caption: 'right cow'
. 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|>
| ['Cow'] | Detected Cow at location [231, 111, 596, 362]
Detected right cow at location [232, 111, 594, 360]
| [
232,
111,
594,
360
] | Detected cow at location [232, 111, 594, 360] | Detected Cow at location [231, 111, 596, 362]
Detected cow at location [232, 111, 594, 360] | [
232,
111,
594,
360
] |
COCO_train2014_000000539897.jpg | refcoco_images/COCO_train2014_000000539897.jpg | bus on right | [359.59,158.1,,599.64,338.38] | <|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 Bus at location [356, 157, 597, 334]
Detected Bus at location [106, 159, 360, 311]
Detected bus at location [356, 159, 596, 334]
Select the coordinates for the target object based on this Caption:'bus on right'
Caption: 'bus 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|>
| ['Bus'] | Detected Bus at location [356, 157, 597, 334]
Detected Bus at location [106, 159, 360, 311]
Detected bus on right at location [356, 159, 596, 334]
| [
356,
159,
596,
334
] | Detected bus at location [356, 159, 596, 334] | Detected Bus at location [356, 157, 597, 334]
Detected Bus at location [106, 159, 360, 311]
Detected bus at location [356, 159, 596, 334] | [
356,
159,
596,
334
] |
COCO_train2014_000000569838.jpg | refcoco_images/COCO_train2014_000000569838.jpg | left zebra | [,67.34,,74.22,153.12,321.17] | <|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 [78, 87, 528, 406]
Detected Zebra at location [278, 99, 524, 400]
Detected zebra at location [84, 98, 198, 411]
Select the coordinates for the target object based on this Caption:'left zebra'
Caption: 'left 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 [78, 87, 528, 406]
Detected Zebra at location [278, 99, 524, 400]
Detected left zebra at location [84, 98, 198, 411]
| [
84,
98,
198,
411
] | Detected zebra at location [84, 98, 198, 411] | Detected Zebra at location [78, 87, 528, 406]
Detected Zebra at location [278, 99, 524, 400]
Detected zebra at location [84, 98, 198, 411] | [
84,
98,
198,
411
] |
COCO_train2014_000000557490.jpg | refcoco_images/COCO_train2014_000000557490.jpg | gray jacket | [212.02,,,3.17,362.69,373.4,] | <|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 Gray jacket at location [219, 3, 364, 206]
Detected gray jacket at location [219, 3, 366, 207]
Select the coordinates for the target object based on this Caption:'gray jacket'
Caption: 'gray 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|>
| ['Gray jacket'] | Detected Gray jacket at location [219, 3, 364, 206]
Detected gray jacket at location [219, 3, 366, 207]
| [
219,
3,
366,
207
] | Detected gray jacket at location [219, 3, 366, 207] | Detected Gray jacket at location [219, 3, 364, 206]
Detected gray jacket at location [219, 3, 366, 207] | [
219,
3,
366,
207
] |
COCO_train2014_000000579051.jpg | refcoco_images/COCO_train2014_000000579051.jpg | arm/hand bottom right | [308.52,370.22,480.,,,631.39] | <|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 arm at location [305, 364, 479, 639]
Detected hand at location [305, 364, 427, 478]
Detected arm at location [308, 367, 479, 639]
Select the coordinates for the target object based on this Caption:'arm/hand bottom right'
Caption: 'arm/hand 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|>
| ['Arm', 'Hand'] | Detected arm at location [305, 364, 479, 639]
Detected hand at location [305, 364, 427, 478]
Detected arm/hand bottom right at location [308, 367, 479, 639]
| [
308,
367,
479,
639
] | Detected arm at location [308, 367, 479, 639] | Detected arm at location [305, 364, 479, 639]
Detected hand at location [305, 364, 427, 478]
Detected arm at location [308, 367, 479, 639] | [
308,
367,
479,
639
] |
COCO_train2014_000000539098.jpg | refcoco_images/COCO_train2014_000000539098.jpg | kid in yellow shirt | [,,1.03,,,1.03,388.19,450.84] | <|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 [3, 2, 387, 456]
Detected shirt at location [2, 98, 324, 299]
Detected kid at location [0, 1, 387, 456]
Select the coordinates for the target object based on this Caption:'kid in yellow shirt'
Caption: 'kid in 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|>
| ['Kid', 'Yellow shirt', 'Shirt'] | Detected Kid at location [3, 2, 387, 456]
Detected shirt at location [2, 98, 324, 299]
Detected kid in yellow shirt at location [0, 1, 387, 456]
| [
0,
1,
387,
456
] | Detected kid at location [0, 1, 387, 456] | Detected Kid at location [3, 2, 387, 456]
Detected shirt at location [2, 98, 324, 299]
Detected kid at location [0, 1, 387, 456] | [
0,
1,
387,
456
] |
COCO_train2014_000000531906.jpg | refcoco_images/COCO_train2014_000000531906.jpg | leftmost lugguage | [,17.26,135.73,169.35,300.76] | <|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 Luggage at location [3, 132, 601, 442]
Detected Luggage at location [2, 135, 215, 444]
Detected Luggage at location [327, 174, 599, 414]
Detected lugguage at location [19, 137, 169, 302]
Select the coordinates for the target object based on this Caption:'leftmost lugguage'
Caption: 'leftmost lugguage'
. 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|>
| ['Luggage'] | Detected Luggage at location [3, 132, 601, 442]
Detected Luggage at location [2, 135, 215, 444]
Detected Luggage at location [327, 174, 599, 414]
Detected leftmost lugguage at location [19, 137, 169, 302]
| [
19,
137,
169,
302
] | Detected lugguage at location [19, 137, 169, 302] | Detected Luggage at location [3, 132, 601, 442]
Detected Luggage at location [2, 135, 215, 444]
Detected Luggage at location [327, 174, 599, 414]
Detected lugguage at location [19, 137, 169, 302] | [
19,
137,
169,
302
] |
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