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_000000576902.jpg | refcoco_images/COCO_train2014_000000576902.jpg | giraffe in the front | [202.45,135.76,324.3,,421.68] | <|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 [164, 114, 427, 424]
Detected giraffe at location [201, 130, 327, 425]
Select the coordinates for the target object based on this Caption:'giraffe in the front'
Caption: 'giraffe in the 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|>
| ['Giraffe'] | Detected Giraffe at location [164, 114, 427, 424]
Detected giraffe in the front at location [201, 130, 327, 425]
| [
201,
130,
327,
425
] | Detected giraffe at location [201, 130, 327, 425] | Detected Giraffe at location [164, 114, 427, 424]
Detected giraffe at location [201, 130, 327, 425] | [
201,
130,
327,
425
] |
COCO_train2014_000000543661.jpg | refcoco_images/COCO_train2014_000000543661.jpg | red shirt girl | [224.08,103.38,484.7,,338.04] | <|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 Red shirt at location [345, 173, 468, 324]
Detected Girl at location [226, 104, 489, 338]
Detected red shirt at location [224, 104, 488, 338]
Select the coordinates for the target object based on this Caption:'red shirt girl'
Caption: 'red shirt 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|>
| ['Red shirt', 'Girl'] | Detected Red shirt at location [345, 173, 468, 324]
Detected Girl at location [226, 104, 489, 338]
Detected red shirt girl at location [224, 104, 488, 338]
| [
224,
104,
488,
338
] | Detected red shirt at location [224, 104, 488, 338] | Detected Red shirt at location [345, 173, 468, 324]
Detected Girl at location [226, 104, 489, 338]
Detected red shirt at location [224, 104, 488, 338] | [
224,
104,
488,
338
] |
COCO_train2014_000000572173.jpg | refcoco_images/COCO_train2014_000000572173.jpg | bottom right boy | [474.08,307.8,,640.,,,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 Boy at location [2, 287, 125, 424]
Detected boy at location [469, 308, 639, 479]
Select the coordinates for the target object based on this Caption:'bottom right boy'
Caption: 'bottom right boy'
. 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 [2, 287, 125, 424]
Detected bottom right boy at location [469, 308, 639, 479]
| [
469,
308,
639,
479
] | Detected boy at location [469, 308, 639, 479] | Detected Boy at location [2, 287, 125, 424]
Detected boy at location [469, 308, 639, 479] | [
469,
308,
639,
479
] |
COCO_train2014_000000531963.jpg | refcoco_images/COCO_train2014_000000531963.jpg | black speckled bowl | [,34.2,,182.55,205.86,286.97] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Bowl at location [329, 244, 544, 378]
Detected black speckled bowl at location [34, 183, 204, 287]
Select the coordinates for the target object based on this Caption:'black speckled bowl'
Caption: 'black speckled bowl'
. 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|>
| ['Bowl'] | Detected Bowl at location [329, 244, 544, 378]
Detected black speckled bowl at location [34, 183, 204, 287]
| [
34,
183,
204,
287
] | Detected black speckled bowl at location [34, 183, 204, 287] | Detected Bowl at location [329, 244, 544, 378]
Detected black speckled bowl at location [34, 183, 204, 287] | [
34,
183,
204,
287
] |
COCO_train2014_000000527660.jpg | refcoco_images/COCO_train2014_000000527660.jpg | CARPET ON RIGHT | [343.38,173.76,634.69,443.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Carpet at location [9, 173, 333, 443]
Detected Carpet at location [344, 174, 633, 443]
Detected carpet at location [350, 72, 633, 430]
Select the coordinates for the target object based on this Caption:'CARPET ON RIGHT'
Caption: 'CARPET 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|>
| ['Carpet'] | Detected Carpet at location [9, 173, 333, 443]
Detected Carpet at location [344, 174, 633, 443]
Detected CARPET ON RIGHT at location [350, 72, 633, 430]
| [
350,
72,
633,
430
] | Detected carpet at location [350, 72, 633, 430] | Detected Carpet at location [9, 173, 333, 443]
Detected Carpet at location [344, 174, 633, 443]
Detected carpet at location [350, 72, 633, 430] | [
350,
72,
633,
430
] |
COCO_train2014_000000558968.jpg | refcoco_images/COCO_train2014_000000558968.jpg | the seat part of the curvy couch | [134.94,246.8,,383.18,380.7,] | <|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 Seat at location [100, 238, 421, 461]
Detected Couch at location [100, 238, 420, 461]
Detected couch at location [135, 248, 382, 379]
Select the coordinates for the target object based on this Caption:'the seat part of the curvy couch'
Caption: 'the seat part of the curvy couch'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Seat', 'Couch'] | Detected Seat at location [100, 238, 421, 461]
Detected Couch at location [100, 238, 420, 461]
Detected the seat part of the curvy couch at location [135, 248, 382, 379]
| [
135,
248,
382,
379
] | Detected couch at location [135, 248, 382, 379] | Detected Seat at location [100, 238, 421, 461]
Detected Couch at location [100, 238, 420, 461]
Detected couch at location [135, 248, 382, 379] | [
135,
248,
382,
379
] |
COCO_train2014_000000562100.jpg | refcoco_images/COCO_train2014_000000562100.jpg | Top banana on left | [112.04,,,9.05,298.79,399.51] | <|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 Banana at location [55, 2, 555, 416]
Detected Top banana at location [112, 6, 299, 398]
Select the coordinates for the target object based on this Caption:'Top banana on left'
Caption: 'Top banana 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|>
| ['Banana'] | Detected Banana at location [55, 2, 555, 416]
Detected Top banana on left at location [112, 6, 299, 398]
| [
112,
6,
299,
398
] | Detected Top banana at location [112, 6, 299, 398] | Detected Banana at location [55, 2, 555, 416]
Detected Top banana at location [112, 6, 299, 398] | [
112,
6,
299,
398
] |
COCO_train2014_000000536103.jpg | refcoco_images/COCO_train2014_000000536103.jpg | middle food above sasuage | [284.8,,,98.09,477.52,286.25] | <|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 Food at location [4, 32, 639, 589]
Detected sausage at location [392, 287, 639, 402]
Detected sausage at location [394, 215, 639, 312]
Detected middle food at location [394, 216, 639, 318]
Select the coordinates for the target object based on this Caption:'middle food above sasuage'
Caption: 'middle food above sasuage'
. 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|>
| ['Food', 'Sausage'] | Detected Food at location [4, 32, 639, 589]
Detected sausage at location [392, 287, 639, 402]
Detected sausage at location [394, 215, 639, 312]
Detected middle food above sasuage at location [394, 216, 639, 318]
| [
394,
216,
639,
318
] | Detected middle food at location [394, 216, 639, 318] | Detected Food at location [4, 32, 639, 589]
Detected sausage at location [392, 287, 639, 402]
Detected sausage at location [394, 215, 639, 312]
Detected middle food at location [394, 216, 639, 318] | [
394,
216,
639,
318
] |
COCO_train2014_000000544570.jpg | refcoco_images/COCO_train2014_000000544570.jpg | whole donut under his hand | [,58.25,219.87,254.56,393.53] | <|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 Donut at location [6, 45, 639, 479]
Detected donut at location [57, 220, 255, 392]
Select the coordinates for the target object based on this Caption:'whole donut under his hand'
Caption: 'whole donut under his hand'
. 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 [6, 45, 639, 479]
Detected whole donut under his hand at location [57, 220, 255, 392]
| [
57,
220,
255,
392
] | Detected donut at location [57, 220, 255, 392] | Detected Donut at location [6, 45, 639, 479]
Detected donut at location [57, 220, 255, 392] | [
57,
220,
255,
392
] |
COCO_train2014_000000560885.jpg | refcoco_images/COCO_train2014_000000560885.jpg | grey horse on right | [402.06,,88.41,607.69,384.11] | <|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 Horse at location [176, 80, 492, 375]
Detected Horse at location [0, 118, 217, 392]
Detected Horse at location [400, 89, 608, 380]
Detected grey horse at location [402, 88, 606, 383]
Select the coordinates for the target object based on this Caption:'grey horse on right'
Caption: 'grey horse 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|>
| ['Horse'] | Detected Horse at location [176, 80, 492, 375]
Detected Horse at location [0, 118, 217, 392]
Detected Horse at location [400, 89, 608, 380]
Detected grey horse on right at location [402, 88, 606, 383]
| [
402,
88,
606,
383
] | Detected grey horse at location [402, 88, 606, 383] | Detected Horse at location [176, 80, 492, 375]
Detected Horse at location [0, 118, 217, 392]
Detected Horse at location [400, 89, 608, 380]
Detected grey horse at location [402, 88, 606, 383] | [
402,
88,
606,
383
] |
COCO_train2014_000000540844.jpg | refcoco_images/COCO_train2014_000000540844.jpg | top | [,65.73,,,2.69,373.92,188.04] | <|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 top at location [83, 4, 479, 240]
Select the coordinates for the target object based on this Caption:'top'
Caption: 'top'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| [] | Detected top at location [83, 4, 479, 240]
| [
83,
4,
479,
240
] | Detected top at location [83, 4, 479, 240] | Detected top at location [83, 4, 479, 240] | [
83,
4,
479,
240
] |
COCO_train2014_000000557399.jpg | refcoco_images/COCO_train2014_000000557399.jpg | baby elephant | [251.28,283.59,545.5,,471.51] | <|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 Baby at location [4, 29, 578, 477]
Detected Elephant at location [37, 30, 576, 474]
Detected baby elephant at location [252, 284, 544, 472]
Select the coordinates for the target object based on this Caption:'baby elephant'
Caption: 'baby 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|>
| ['Baby', 'Elephant'] | Detected Baby at location [4, 29, 578, 477]
Detected Elephant at location [37, 30, 576, 474]
Detected baby elephant at location [252, 284, 544, 472]
| [
252,
284,
544,
472
] | Detected baby elephant at location [252, 284, 544, 472] | Detected Baby at location [4, 29, 578, 477]
Detected Elephant at location [37, 30, 576, 474]
Detected baby elephant at location [252, 284, 544, 472] | [
252,
284,
544,
472
] |
COCO_train2014_000000578009.jpg | refcoco_images/COCO_train2014_000000578009.jpg | suitcase on the bottom center with three items in it | [156.97,259.19,311.68,448.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Suitcase at location [0, 0, 535, 479]
Detected suitcase at location [169, 278, 333, 479]
Select the coordinates for the target object based on this Caption:'suitcase on the bottom center with three items in it'
Caption: 'suitcase on the bottom center with three items in it'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Suitcase', 'Items'] | Detected Suitcase at location [0, 0, 535, 479]
Detected suitcase on the bottom center with three items in it at location [169, 278, 333, 479]
| [
169,
278,
333,
479
] | Detected suitcase at location [169, 278, 333, 479] | Detected Suitcase at location [0, 0, 535, 479]
Detected suitcase at location [169, 278, 333, 479] | [
169,
278,
333,
479
] |
COCO_train2014_000000520039.jpg | refcoco_images/COCO_train2014_000000520039.jpg | far right person | [417.44,,,4.31,640.,,,346.25] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Person at location [115, 0, 326, 330]
Detected person at location [416, 0, 639, 344]
Select the coordinates for the target object based on this Caption:'far right person'
Caption: 'far right person'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Person'] | Detected Person at location [115, 0, 326, 330]
Detected far right person at location [416, 0, 639, 344]
| [
416,
0,
639,
344
] | Detected person at location [416, 0, 639, 344] | Detected Person at location [115, 0, 326, 330]
Detected person at location [416, 0, 639, 344] | [
416,
0,
639,
344
] |
COCO_train2014_000000524314.jpg | refcoco_images/COCO_train2014_000000524314.jpg | person standing in white jacket | [,91.37,,42.99,182.74,333.45] | <|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 jacket at location [89, 72, 184, 208]
Detected person at location [92, 44, 181, 334]
Select the coordinates for the target object based on this Caption:'person standing in white jacket'
Caption: 'person standing in white 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|>
| ['White jacket'] | Detected White jacket at location [89, 72, 184, 208]
Detected person standing in white jacket at location [92, 44, 181, 334]
| [
92,
44,
181,
334
] | Detected person at location [92, 44, 181, 334] | Detected White jacket at location [89, 72, 184, 208]
Detected person at location [92, 44, 181, 334] | [
92,
44,
181,
334
] |
COCO_train2014_000000528432.jpg | refcoco_images/COCO_train2014_000000528432.jpg | second from top bat | [,77.54,,67.47,638.48,287.01] | <|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 Bat at location [0, 36, 638, 427]
Detected bat at location [77, 67, 638, 290]
Select the coordinates for the target object based on this Caption:'second from top bat'
Caption: 'second from top bat'
. 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|>
| ['Bat'] | Detected Bat at location [0, 36, 638, 427]
Detected second from top bat at location [77, 67, 638, 290]
| [
77,
67,
638,
290
] | Detected bat at location [77, 67, 638, 290] | Detected Bat at location [0, 36, 638, 427]
Detected bat at location [77, 67, 638, 290] | [
77,
67,
638,
290
] |
COCO_train2014_000000539313.jpg | refcoco_images/COCO_train2014_000000539313.jpg | girl on right | [421.75,156.4,,540.4,,448.72] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Girl at location [414, 152, 572, 447]
Detected girl at location [417, 154, 570, 446]
Select the coordinates for the target object based on this Caption:'girl on right'
Caption: 'girl 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|>
| ['Girl'] | Detected Girl at location [414, 152, 572, 447]
Detected girl on right at location [417, 154, 570, 446]
| [
417,
154,
570,
446
] | Detected girl at location [417, 154, 570, 446] | Detected Girl at location [414, 152, 572, 447]
Detected girl at location [417, 154, 570, 446] | [
417,
154,
570,
446
] |
COCO_train2014_000000522316.jpg | refcoco_images/COCO_train2014_000000522316.jpg | black vase | [,,4.32,264.5,,175.86,513.87] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Vase at location [2, 265, 172, 511]
Detected black vase at location [2, 263, 176, 513]
Select the coordinates for the target object based on this Caption:'black vase'
Caption: 'black vase'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Vase'] | Detected Vase at location [2, 265, 172, 511]
Detected black vase at location [2, 263, 176, 513]
| [
2,
263,
176,
513
] | Detected black vase at location [2, 263, 176, 513] | Detected Vase at location [2, 265, 172, 511]
Detected black vase at location [2, 263, 176, 513] | [
2,
263,
176,
513
] |
COCO_train2014_000000540439.jpg | refcoco_images/COCO_train2014_000000540439.jpg | green shirt | [,15.57,,19.46,386.59,574.7,] | <|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 Green shirt at location [130, 92, 372, 317]
Detected Shirt at location [132, 94, 371, 317]
Detected green shirt at location [16, 19, 384, 572]
Select the coordinates for the target object based on this Caption:'green shirt'
Caption: 'green 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|>
| ['Green shirt', 'Shirt'] | Detected Green shirt at location [130, 92, 372, 317]
Detected Shirt at location [132, 94, 371, 317]
Detected green shirt at location [16, 19, 384, 572]
| [
16,
19,
384,
572
] | Detected green shirt at location [16, 19, 384, 572] | Detected Green shirt at location [130, 92, 372, 317]
Detected Shirt at location [132, 94, 371, 317]
Detected green shirt at location [16, 19, 384, 572] | [
16,
19,
384,
572
] |
COCO_train2014_000000571451.jpg | refcoco_images/COCO_train2014_000000571451.jpg | piece of bread next to glass | [,58.15,208.99,212.36,359.83] | <|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 Bread at location [72, 265, 446, 476]
Detected piece of bread at location [73, 268, 272, 464]
Select the coordinates for the target object based on this Caption:'piece of bread next to glass'
Caption: 'piece of bread next to glass'
. 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|>
| ['Bread', 'Glass'] | Detected Bread at location [72, 265, 446, 476]
Detected piece of bread next to glass at location [73, 268, 272, 464]
| [
73,
268,
272,
464
] | Detected piece of bread at location [73, 268, 272, 464] | Detected Bread at location [72, 265, 446, 476]
Detected piece of bread at location [73, 268, 272, 464] | [
73,
268,
272,
464
] |
COCO_train2014_000000566899.jpg | refcoco_images/COCO_train2014_000000566899.jpg | outside the hotdogs on top | [,,3.74,,,0.,,,639.58,473.77] | <|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 Hotdogs at location [47, 77, 621, 402]
Detected hotdogs at location [0, 0, 639, 479]
Select the coordinates for the target object based on this Caption:'outside the hotdogs on top'
Caption: 'outside the hotdogs on top'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Hotdogs'] | Detected Hotdogs at location [47, 77, 621, 402]
Detected outside the hotdogs on top at location [0, 0, 639, 479]
| [
0,
0,
639,
479
] | Detected hotdogs at location [0, 0, 639, 479] | Detected Hotdogs at location [47, 77, 621, 402]
Detected hotdogs at location [0, 0, 639, 479] | [
0,
0,
639,
479
] |
COCO_train2014_000000572602.jpg | refcoco_images/COCO_train2014_000000572602.jpg | banana | [323.77,177.43,494.17,352.1,] | <|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 [332, 192, 482, 345]
Detected banana at location [324, 178, 493, 351]
Select the coordinates for the target object based on this Caption:'banana'
Caption: 'banana'
. 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'] | Detected Banana at location [332, 192, 482, 345]
Detected banana at location [324, 178, 493, 351]
| [
324,
178,
493,
351
] | Detected banana at location [324, 178, 493, 351] | Detected Banana at location [332, 192, 482, 345]
Detected banana at location [324, 178, 493, 351] | [
324,
178,
493,
351
] |
COCO_train2014_000000576187.jpg | refcoco_images/COCO_train2014_000000576187.jpg | right bike | [471.01,196.12,615.11,347.86] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Bike at location [56, 231, 264, 425]
Detected bike at location [471, 196, 613, 347]
Select the coordinates for the target object based on this Caption:'right bike'
Caption: 'right 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 [56, 231, 264, 425]
Detected right bike at location [471, 196, 613, 347]
| [
471,
196,
613,
347
] | Detected bike at location [471, 196, 613, 347] | Detected Bike at location [56, 231, 264, 425]
Detected bike at location [471, 196, 613, 347] | [
471,
196,
613,
347
] |
COCO_train2014_000000531956.jpg | refcoco_images/COCO_train2014_000000531956.jpg | bottome row left | [,30.75,180.32,233.73,436.5,] | <|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 Row at location [32, 63, 582, 469]
Detected row at location [30, 179, 233, 435]
Select the coordinates for the target object based on this Caption:'bottome row left'
Caption: 'bottome row 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|>
| ['Row'] | Detected Row at location [32, 63, 582, 469]
Detected bottome row left at location [30, 179, 233, 435]
| [
30,
179,
233,
435
] | Detected row at location [30, 179, 233, 435] | Detected Row at location [32, 63, 582, 469]
Detected row at location [30, 179, 233, 435] | [
30,
179,
233,
435
] |
COCO_train2014_000000560809.jpg | refcoco_images/COCO_train2014_000000560809.jpg | twin bed | [,52.6,,154.99,374.79,402.03] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Twin bed at location [52, 146, 639, 415]
Detected Twin bed at location [116, 148, 639, 416]
Detected Twin bed at location [52, 151, 378, 402]
Detected twin bed at location [52, 153, 375, 401]
Select the coordinates for the target object based on this Caption:'twin bed'
Caption: 'twin bed'
. 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|>
| ['Twin bed'] | Detected Twin bed at location [52, 146, 639, 415]
Detected Twin bed at location [116, 148, 639, 416]
Detected Twin bed at location [52, 151, 378, 402]
Detected twin bed at location [52, 153, 375, 401]
| [
52,
153,
375,
401
] | Detected twin bed at location [52, 153, 375, 401] | Detected Twin bed at location [52, 146, 639, 415]
Detected Twin bed at location [116, 148, 639, 416]
Detected Twin bed at location [52, 151, 378, 402]
Detected twin bed at location [52, 153, 375, 401] | [
52,
153,
375,
401
] |
COCO_train2014_000000520100.jpg | refcoco_images/COCO_train2014_000000520100.jpg | bowl of white rice | [,35.39,,42.98,321.07,182.02] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Bowl at location [42, 48, 384, 217]
Detected Bowl at location [69, 211, 397, 365]
Detected Rice at location [61, 58, 375, 194]
Detected bowl of white rice at location [43, 52, 385, 218]
Select the coordinates for the target object based on this Caption:'bowl of white rice'
Caption: 'bowl of white rice'
. 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|>
| ['Bowl', 'Rice'] | Detected Bowl at location [42, 48, 384, 217]
Detected Bowl at location [69, 211, 397, 365]
Detected Rice at location [61, 58, 375, 194]
Detected bowl of white rice at location [43, 52, 385, 218]
| [
43,
52,
385,
218
] | Detected bowl of white rice at location [43, 52, 385, 218] | Detected Bowl at location [42, 48, 384, 217]
Detected Bowl at location [69, 211, 397, 365]
Detected Rice at location [61, 58, 375, 194]
Detected bowl of white rice at location [43, 52, 385, 218] | [
43,
52,
385,
218
] |
COCO_train2014_000000578331.jpg | refcoco_images/COCO_train2014_000000578331.jpg | woman on right | [359.23,196.51,640.,,,548.24] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Woman at location [359, 191, 638, 556]
Detected Woman at location [97, 164, 327, 556]
Detected woman at location [360, 190, 639, 556]
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 [359, 191, 638, 556]
Detected Woman at location [97, 164, 327, 556]
Detected woman on right at location [360, 190, 639, 556]
| [
360,
190,
639,
556
] | Detected woman at location [360, 190, 639, 556] | Detected Woman at location [359, 191, 638, 556]
Detected Woman at location [97, 164, 327, 556]
Detected woman at location [360, 190, 639, 556] | [
360,
190,
639,
556
] |
COCO_train2014_000000555615.jpg | refcoco_images/COCO_train2014_000000555615.jpg | girl | [419.23,,56.82,639.82,419.7,] | <|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 Girl at location [149, 52, 449, 422]
Detected girl at location [0, 18, 209, 423]
Select the coordinates for the target object based on this Caption:'girl'
Caption: 'girl'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Girl'] | Detected Girl at location [149, 52, 449, 422]
Detected girl at location [0, 18, 209, 423]
| [
0,
18,
209,
423
] | Detected girl at location [0, 18, 209, 423] | Detected Girl at location [149, 52, 449, 422]
Detected girl at location [0, 18, 209, 423] | [
0,
18,
209,
423
] |
COCO_train2014_000000564361.jpg | refcoco_images/COCO_train2014_000000564361.jpg | book laying donw | [127.68,282.03,640.,,,419.24] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Book at location [128, 283, 638, 421]
Detected book at location [127, 282, 638, 419]
Select the coordinates for the target object based on this Caption:'book laying donw'
Caption: 'book laying donw'
. 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|>
| ['Book'] | Detected Book at location [128, 283, 638, 421]
Detected book laying donw at location [127, 282, 638, 419]
| [
127,
282,
638,
419
] | Detected book at location [127, 282, 638, 419] | Detected Book at location [128, 283, 638, 421]
Detected book at location [127, 282, 638, 419] | [
127,
282,
638,
419
] |
COCO_train2014_000000528167.jpg | refcoco_images/COCO_train2014_000000528167.jpg | man at far right | [414.8,,,84.95,587.32,425.,,] | <|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 [416, 84, 587, 424]
Detected Man at location [244, 97, 415, 423]
Detected man at location [416, 85, 587, 424]
Select the coordinates for the target object based on this Caption:'man at far right'
Caption: 'man at far right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Man'] | Detected Man at location [416, 84, 587, 424]
Detected Man at location [244, 97, 415, 423]
Detected man at far right at location [416, 85, 587, 424]
| [
416,
85,
587,
424
] | Detected man at location [416, 85, 587, 424] | Detected Man at location [416, 84, 587, 424]
Detected Man at location [244, 97, 415, 423]
Detected man at location [416, 85, 587, 424] | [
416,
85,
587,
424
] |
COCO_train2014_000000571885.jpg | refcoco_images/COCO_train2014_000000571885.jpg | top right bowl | [3.7184e+02,3.2000e-01,6.0671e+02,1.7783e+02] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Bowl at location [52, 8, 428, 425]
Detected bowl at location [372, 0, 606, 177]
Select the coordinates for the target object based on this Caption:'top right bowl'
Caption: 'top right bowl'
. 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|>
| ['Bowl'] | Detected Bowl at location [52, 8, 428, 425]
Detected top right bowl at location [372, 0, 606, 177]
| [
372,
0,
606,
177
] | Detected bowl at location [372, 0, 606, 177] | Detected Bowl at location [52, 8, 428, 425]
Detected bowl at location [372, 0, 606, 177] | [
372,
0,
606,
177
] |
COCO_train2014_000000539071.jpg | refcoco_images/COCO_train2014_000000539071.jpg | cheese | [109.15,146.78,638.56,475.47] | <|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 Cheese at location [107, 147, 639, 478]
Detected cheese at location [104, 147, 639, 476]
Select the coordinates for the target object based on this Caption:'cheese'
Caption: 'cheese'
. 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|>
| ['Cheese'] | Detected Cheese at location [107, 147, 639, 478]
Detected cheese at location [104, 147, 639, 476]
| [
104,
147,
639,
476
] | Detected cheese at location [104, 147, 639, 476] | Detected Cheese at location [107, 147, 639, 478]
Detected cheese at location [104, 147, 639, 476] | [
104,
147,
639,
476
] |
COCO_train2014_000000522667.jpg | refcoco_images/COCO_train2014_000000522667.jpg | green tree on right of brick | [368.56,,,1.39,554.7,,230.96] | <|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 Tree at location [370, 1, 552, 235]
Detected green tree at location [369, 0, 554, 232]
Select the coordinates for the target object based on this Caption:'green tree on right of brick'
Caption: 'green tree on right of brick'
. 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', 'Brick'] | Detected Tree at location [370, 1, 552, 235]
Detected green tree on right of brick at location [369, 0, 554, 232]
| [
369,
0,
554,
232
] | Detected green tree at location [369, 0, 554, 232] | Detected Tree at location [370, 1, 552, 235]
Detected green tree at location [369, 0, 554, 232] | [
369,
0,
554,
232
] |
COCO_train2014_000000536648.jpg | refcoco_images/COCO_train2014_000000536648.jpg | Jumping skier on left | [224.34,,75.26,437.64,342.7,] | <|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 Skier at location [222, 69, 439, 344]
Detected skier at location [223, 75, 436, 342]
Select the coordinates for the target object based on this Caption:'Jumping skier on left'
Caption: 'Jumping skier 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|>
| ['Skier'] | Detected Skier at location [222, 69, 439, 344]
Detected Jumping skier on left at location [223, 75, 436, 342]
| [
223,
75,
436,
342
] | Detected skier at location [223, 75, 436, 342] | Detected Skier at location [222, 69, 439, 344]
Detected skier at location [223, 75, 436, 342] | [
223,
75,
436,
342
] |
COCO_train2014_000000528941.jpg | refcoco_images/COCO_train2014_000000528941.jpg | middle green veggie | [237.34,235.15,408.51,347.5,] | <|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 Veggie at location [23, 256, 221, 416]
Detected green veggie at location [238, 235, 409, 347]
Select the coordinates for the target object based on this Caption:'middle green veggie'
Caption: 'middle green veggie'
. 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|>
| ['Veggie'] | Detected Veggie at location [23, 256, 221, 416]
Detected middle green veggie at location [238, 235, 409, 347]
| [
238,
235,
409,
347
] | Detected green veggie at location [238, 235, 409, 347] | Detected Veggie at location [23, 256, 221, 416]
Detected green veggie at location [238, 235, 409, 347] | [
238,
235,
409,
347
] |
COCO_train2014_000000577657.jpg | refcoco_images/COCO_train2014_000000577657.jpg | class in middle top | [183.37,,61.37,375.74,490.25] | <|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 Class at location [4, 8, 535, 638]
Detected class at location [181, 65, 376, 489]
Select the coordinates for the target object based on this Caption:'class in middle top'
Caption: 'class in middle top'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Class'] | Detected Class at location [4, 8, 535, 638]
Detected class in middle top at location [181, 65, 376, 489]
| [
181,
65,
376,
489
] | Detected class at location [181, 65, 376, 489] | Detected Class at location [4, 8, 535, 638]
Detected class at location [181, 65, 376, 489] | [
181,
65,
376,
489
] |
COCO_train2014_000000530650.jpg | refcoco_images/COCO_train2014_000000530650.jpg | boy | [,57.16,,,1.82,552.16,533.31] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Boy at location [58, 8, 555, 539]
Detected boy at location [59, 5, 553, 539]
Select the coordinates for the target object based on this Caption:'boy'
Caption: 'boy'
. 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 [58, 8, 555, 539]
Detected boy at location [59, 5, 553, 539]
| [
59,
5,
553,
539
] | Detected boy at location [59, 5, 553, 539] | Detected Boy at location [58, 8, 555, 539]
Detected boy at location [59, 5, 553, 539] | [
59,
5,
553,
539
] |
COCO_train2014_000000536103.jpg | refcoco_images/COCO_train2014_000000536103.jpg | sausage link on the top | [393.97,211.12,636.68,312.52] | <|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 Sausage link at location [391, 286, 639, 402]
Detected Sausage link at location [393, 213, 639, 311]
Detected sausage link at location [394, 215, 639, 318]
Select the coordinates for the target object based on this Caption:'sausage link on the top'
Caption: 'sausage link on the top'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Sausage link'] | Detected Sausage link at location [391, 286, 639, 402]
Detected Sausage link at location [393, 213, 639, 311]
Detected sausage link on the top at location [394, 215, 639, 318]
| [
394,
215,
639,
318
] | Detected sausage link at location [394, 215, 639, 318] | Detected Sausage link at location [391, 286, 639, 402]
Detected Sausage link at location [393, 213, 639, 311]
Detected sausage link at location [394, 215, 639, 318] | [
394,
215,
639,
318
] |
COCO_train2014_000000557434.jpg | refcoco_images/COCO_train2014_000000557434.jpg | the car on bottom of screen | [,,0.96,280.03,404.86,423.66] | <|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 Car at location [291, 197, 638, 424]
Detected car at location [0, 280, 405, 423]
Select the coordinates for the target object based on this Caption:'the car on bottom of screen'
Caption: 'the car on bottom of screen'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Car'] | Detected Car at location [291, 197, 638, 424]
Detected the car on bottom of screen at location [0, 280, 405, 423]
| [
0,
280,
405,
423
] | Detected car at location [0, 280, 405, 423] | Detected Car at location [291, 197, 638, 424]
Detected car at location [0, 280, 405, 423] | [
0,
280,
405,
423
] |
COCO_train2014_000000532188.jpg | refcoco_images/COCO_train2014_000000532188.jpg | mom middle | [105.88,306.57,295.51,628.94] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Mom at location [104, 313, 293, 639]
Detected mom at location [106, 308, 296, 639]
Select the coordinates for the target object based on this Caption:'mom middle'
Caption: 'mom middle'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Mom'] | Detected Mom at location [104, 313, 293, 639]
Detected mom middle at location [106, 308, 296, 639]
| [
106,
308,
296,
639
] | Detected mom at location [106, 308, 296, 639] | Detected Mom at location [104, 313, 293, 639]
Detected mom at location [106, 308, 296, 639] | [
106,
308,
296,
639
] |
COCO_train2014_000000577657.jpg | refcoco_images/COCO_train2014_000000577657.jpg | second glass from front | [,46.68,,82.57,286.12,632.22] | <|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 Glass at location [3, 16, 535, 638]
Detected glass at location [181, 65, 376, 489]
Select the coordinates for the target object based on this Caption:'second glass from front'
Caption: 'second glass 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|>
| ['Glass'] | Detected Glass at location [3, 16, 535, 638]
Detected second glass from front at location [181, 65, 376, 489]
| [
181,
65,
376,
489
] | Detected glass at location [181, 65, 376, 489] | Detected Glass at location [3, 16, 535, 638]
Detected glass at location [181, 65, 376, 489] | [
181,
65,
376,
489
] |
COCO_train2014_000000518834.jpg | refcoco_images/COCO_train2014_000000518834.jpg | first sheep to right | [316.8,,177.2,,575.51,436.04] | <|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 Sheep at location [3, 4, 639, 460]
Detected sheep at location [212, 237, 395, 468]
Select the coordinates for the target object based on this Caption:'first sheep to right'
Caption: 'first sheep 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|>
| ['Sheep'] | Detected Sheep at location [3, 4, 639, 460]
Detected first sheep to right at location [212, 237, 395, 468]
| [
212,
237,
395,
468
] | Detected sheep at location [212, 237, 395, 468] | Detected Sheep at location [3, 4, 639, 460]
Detected sheep at location [212, 237, 395, 468] | [
212,
237,
395,
468
] |
COCO_train2014_000000566752.jpg | refcoco_images/COCO_train2014_000000566752.jpg | the magazine in the middle | [237.42,212.5,,411.19,340.36] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Magazine at location [236, 215, 412, 342]
Detected Magazine at location [2, 203, 172, 300]
Detected magazine at location [236, 216, 411, 341]
Select the coordinates for the target object based on this Caption:'the magazine in the middle'
Caption: 'the magazine in the middle'
. 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|>
| ['Magazine'] | Detected Magazine at location [236, 215, 412, 342]
Detected Magazine at location [2, 203, 172, 300]
Detected the magazine in the middle at location [236, 216, 411, 341]
| [
236,
216,
411,
341
] | Detected magazine at location [236, 216, 411, 341] | Detected Magazine at location [236, 215, 412, 342]
Detected Magazine at location [2, 203, 172, 300]
Detected magazine at location [236, 216, 411, 341] | [
236,
216,
411,
341
] |
COCO_train2014_000000559891.jpg | refcoco_images/COCO_train2014_000000559891.jpg | woman holding horse | [127.52,145.92,345.23,474.56] | <|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 [124, 146, 345, 479]
Detected Horse at location [2, 93, 364, 479]
Detected woman at location [128, 146, 344, 479]
Select the coordinates for the target object based on this Caption:'woman holding horse'
Caption: 'woman holding 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|>
| ['Woman', 'Horse'] | Detected Woman at location [124, 146, 345, 479]
Detected Horse at location [2, 93, 364, 479]
Detected woman holding horse at location [128, 146, 344, 479]
| [
128,
146,
344,
479
] | Detected woman at location [128, 146, 344, 479] | Detected Woman at location [124, 146, 345, 479]
Detected Horse at location [2, 93, 364, 479]
Detected woman at location [128, 146, 344, 479] | [
128,
146,
344,
479
] |
COCO_train2014_000000547794.jpg | refcoco_images/COCO_train2014_000000547794.jpg | bearded guy | [272.22,,37.17,606.71,439.96] | <|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 Bearded Guy at location [262, 29, 601, 446]
Detected bearded guy at location [264, 35, 603, 447]
Select the coordinates for the target object based on this Caption:'bearded guy'
Caption: 'bearded 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|>
| ['Bearded Guy'] | Detected Bearded Guy at location [262, 29, 601, 446]
Detected bearded guy at location [264, 35, 603, 447]
| [
264,
35,
603,
447
] | Detected bearded guy at location [264, 35, 603, 447] | Detected Bearded Guy at location [262, 29, 601, 446]
Detected bearded guy at location [264, 35, 603, 447] | [
264,
35,
603,
447
] |
COCO_train2014_000000532766.jpg | refcoco_images/COCO_train2014_000000532766.jpg | portion on right | [297.35,,95.29,500.,,,262.94] | <|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 Portion at location [373, 239, 531, 408]
Detected portion at location [380, 122, 639, 336]
Select the coordinates for the target object based on this Caption:'portion on right'
Caption: 'portion 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|>
| ['Portion'] | Detected Portion at location [373, 239, 531, 408]
Detected portion on right at location [380, 122, 639, 336]
| [
380,
122,
639,
336
] | Detected portion at location [380, 122, 639, 336] | Detected Portion at location [373, 239, 531, 408]
Detected portion at location [380, 122, 639, 336] | [
380,
122,
639,
336
] |
COCO_train2014_000000574049.jpg | refcoco_images/COCO_train2014_000000574049.jpg | first cow left | [,,0.,,,141.26,260.43,421.94] | <|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 [0, 133, 639, 423]
Detected Cow at location [0, 135, 256, 425]
Detected cow at location [0, 139, 256, 426]
Select the coordinates for the target object based on this Caption:'first cow left'
Caption: 'first cow 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|>
| ['Cow'] | Detected Cow at location [0, 133, 639, 423]
Detected Cow at location [0, 135, 256, 425]
Detected first cow left at location [0, 139, 256, 426]
| [
0,
139,
256,
426
] | Detected cow at location [0, 139, 256, 426] | Detected Cow at location [0, 133, 639, 423]
Detected Cow at location [0, 135, 256, 425]
Detected cow at location [0, 139, 256, 426] | [
0,
139,
256,
426
] |
COCO_train2014_000000579136.jpg | refcoco_images/COCO_train2014_000000579136.jpg | WOMAN SKIER | [159.28,100.81,305.65,415.07] | <|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 [156, 98, 308, 416]
Detected Skier at location [156, 98, 307, 416]
Detected WOMAN SKIER at location [157, 101, 304, 414]
Select the coordinates for the target object based on this Caption:'WOMAN SKIER'
Caption: 'WOMAN SKIER'
. 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', 'Skier'] | Detected Woman at location [156, 98, 308, 416]
Detected Skier at location [156, 98, 307, 416]
Detected WOMAN SKIER at location [157, 101, 304, 414]
| [
157,
101,
304,
414
] | Detected WOMAN SKIER at location [157, 101, 304, 414] | Detected Woman at location [156, 98, 308, 416]
Detected Skier at location [156, 98, 307, 416]
Detected WOMAN SKIER at location [157, 101, 304, 414] | [
157,
101,
304,
414
] |
COCO_train2014_000000559235.jpg | refcoco_images/COCO_train2014_000000559235.jpg | lady in black with blonde hair on left hand side | [,,0.,,,138.34,155.42,378.29] | <|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 [233, 129, 452, 378]
Detected hair at location [292, 129, 362, 205]
Detected lady in black at location [9, 140, 159, 379]
Select the coordinates for the target object based on this Caption:'lady in black with blonde hair on left hand side'
Caption: 'lady in black with blonde hair on left hand 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|>
| ['Lady', 'Black', 'Blonde hair'] | Detected Lady at location [233, 129, 452, 378]
Detected hair at location [292, 129, 362, 205]
Detected lady in black with blonde hair on left hand side at location [9, 140, 159, 379]
| [
9,
140,
159,
379
] | Detected lady in black at location [9, 140, 159, 379] | Detected Lady at location [233, 129, 452, 378]
Detected hair at location [292, 129, 362, 205]
Detected lady in black at location [9, 140, 159, 379] | [
9,
140,
159,
379
] |
COCO_train2014_000000579663.jpg | refcoco_images/COCO_train2014_000000579663.jpg | girl in black dress on left | [,,0.,,,222.21,191.17,565.19] | <|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 Girl at location [3, 219, 192, 567]
Detected dress at location [21, 333, 145, 565]
Detected girl in black dress at location [0, 221, 192, 566]
Select the coordinates for the target object based on this Caption:'girl in black dress on left'
Caption: 'girl in black dress 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|>
| ['Girl', 'Black dress'] | Detected Girl at location [3, 219, 192, 567]
Detected dress at location [21, 333, 145, 565]
Detected girl in black dress on left at location [0, 221, 192, 566]
| [
0,
221,
192,
566
] | Detected girl in black dress at location [0, 221, 192, 566] | Detected Girl at location [3, 219, 192, 567]
Detected dress at location [21, 333, 145, 565]
Detected girl in black dress at location [0, 221, 192, 566] | [
0,
221,
192,
566
] |
COCO_train2014_000000549617.jpg | refcoco_images/COCO_train2014_000000549617.jpg | second horse in the back | [109.02,177.96,429.44,424.,,] | <|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 [220, 111, 639, 423]
Detected horse at location [108, 178, 639, 423]
Select the coordinates for the target object based on this Caption:'second horse in the back'
Caption: 'second horse in the back'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Horse'] | Detected Horse at location [220, 111, 639, 423]
Detected second horse in the back at location [108, 178, 639, 423]
| [
108,
178,
639,
423
] | Detected horse at location [108, 178, 639, 423] | Detected Horse at location [220, 111, 639, 423]
Detected horse at location [108, 178, 639, 423] | [
108,
178,
639,
423
] |
COCO_train2014_000000564099.jpg | refcoco_images/COCO_train2014_000000564099.jpg | open book far left | [,,0.,,,228.41,176.95,378.43] | <|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 Book at location [0, 230, 178, 382]
Detected open book at location [0, 229, 178, 379]
Select the coordinates for the target object based on this Caption:'open book far left'
Caption: 'open book far left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Book'] | Detected Book at location [0, 230, 178, 382]
Detected open book far left at location [0, 229, 178, 379]
| [
0,
229,
178,
379
] | Detected open book at location [0, 229, 178, 379] | Detected Book at location [0, 230, 178, 382]
Detected open book at location [0, 229, 178, 379] | [
0,
229,
178,
379
] |
COCO_train2014_000000518957.jpg | refcoco_images/COCO_train2014_000000518957.jpg | kid in front kicking ball | [240.38,122.75,405.62,381.87] | <|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 [243, 123, 409, 384]
Detected Ball at location [290, 354, 350, 410]
Detected kid at location [239, 123, 404, 381]
Select the coordinates for the target object based on this Caption:'kid in front kicking ball'
Caption: 'kid in front kicking ball'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Kid', 'Ball'] | Detected Kid at location [243, 123, 409, 384]
Detected Ball at location [290, 354, 350, 410]
Detected kid in front kicking ball at location [239, 123, 404, 381]
| [
239,
123,
404,
381
] | Detected kid at location [239, 123, 404, 381] | Detected Kid at location [243, 123, 409, 384]
Detected Ball at location [290, 354, 350, 410]
Detected kid at location [239, 123, 404, 381] | [
239,
123,
404,
381
] |
COCO_train2014_000000565062.jpg | refcoco_images/COCO_train2014_000000565062.jpg | kid holding hands | [207.71,109.78,361.61,342.24] | <|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 Kid at location [206, 111, 364, 343]
Detected kid at location [208, 109, 363, 342]
Select the coordinates for the target object based on this Caption:'kid holding hands'
Caption: 'kid holding hands'
. 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', 'Hands'] | Detected Kid at location [206, 111, 364, 343]
Detected kid holding hands at location [208, 109, 363, 342]
| [
208,
109,
363,
342
] | Detected kid at location [208, 109, 363, 342] | Detected Kid at location [206, 111, 364, 343]
Detected kid at location [208, 109, 363, 342] | [
208,
109,
363,
342
] |
COCO_train2014_000000524975.jpg | refcoco_images/COCO_train2014_000000524975.jpg | yellow bear | [,61.42,207.7,,187.,,,350.56] | <|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 Bear at location [169, 204, 290, 361]
Detected Bear at location [58, 210, 183, 349]
Detected yellow bear at location [61, 208, 187, 350]
Select the coordinates for the target object based on this Caption:'yellow bear'
Caption: 'yellow bear'
. 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 [169, 204, 290, 361]
Detected Bear at location [58, 210, 183, 349]
Detected yellow bear at location [61, 208, 187, 350]
| [
61,
208,
187,
350
] | Detected yellow bear at location [61, 208, 187, 350] | Detected Bear at location [169, 204, 290, 361]
Detected Bear at location [58, 210, 183, 349]
Detected yellow bear at location [61, 208, 187, 350] | [
61,
208,
187,
350
] |
COCO_train2014_000000563525.jpg | refcoco_images/COCO_train2014_000000563525.jpg | man pouring wine | [414.51,,,0.96,640.,,,417.38] | <|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 Man at location [412, 0, 639, 425]
Detected man at location [414, 0, 639, 425]
Select the coordinates for the target object based on this Caption:'man pouring wine'
Caption: 'man pouring wine'
. 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', 'Wine'] | Detected Man at location [412, 0, 639, 425]
Detected man pouring wine at location [414, 0, 639, 425]
| [
414,
0,
639,
425
] | Detected man at location [414, 0, 639, 425] | Detected Man at location [412, 0, 639, 425]
Detected man at location [414, 0, 639, 425] | [
414,
0,
639,
425
] |
COCO_train2014_000000551598.jpg | refcoco_images/COCO_train2014_000000551598.jpg | bear on right | [360.1,,,67.75,589.34,369.38] | <|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 Bear at location [56, 50, 563, 408]
Detected Bear at location [357, 64, 590, 364]
Detected bear at location [359, 68, 587, 367]
Select the coordinates for the target object based on this Caption:'bear on right'
Caption: 'bear 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|>
| ['Bear'] | Detected Bear at location [56, 50, 563, 408]
Detected Bear at location [357, 64, 590, 364]
Detected bear on right at location [359, 68, 587, 367]
| [
359,
68,
587,
367
] | Detected bear at location [359, 68, 587, 367] | Detected Bear at location [56, 50, 563, 408]
Detected Bear at location [357, 64, 590, 364]
Detected bear at location [359, 68, 587, 367] | [
359,
68,
587,
367
] |
COCO_train2014_000000543695.jpg | refcoco_images/COCO_train2014_000000543695.jpg | right blue | [508.56,,39.9,,633.52,421.56] | <|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 Blue at location [207, 90, 284, 204]
Detected Blue at location [521, 90, 598, 204]
Detected blue at location [508, 44, 632, 422]
Select the coordinates for the target object based on this Caption:'right blue'
Caption: 'right blue'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Blue'] | Detected Blue at location [207, 90, 284, 204]
Detected Blue at location [521, 90, 598, 204]
Detected right blue at location [508, 44, 632, 422]
| [
508,
44,
632,
422
] | Detected blue at location [508, 44, 632, 422] | Detected Blue at location [207, 90, 284, 204]
Detected Blue at location [521, 90, 598, 204]
Detected blue at location [508, 44, 632, 422] | [
508,
44,
632,
422
] |
COCO_train2014_000000517702.jpg | refcoco_images/COCO_train2014_000000517702.jpg | yellow dress | [,63.14,211.11,226.73,559.81] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Yellow dress at location [62, 231, 226, 530]
Detected yellow dress at location [64, 211, 226, 560]
Select the coordinates for the target object based on this Caption:'yellow dress'
Caption: 'yellow dress'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Yellow dress'] | Detected Yellow dress at location [62, 231, 226, 530]
Detected yellow dress at location [64, 211, 226, 560]
| [
64,
211,
226,
560
] | Detected yellow dress at location [64, 211, 226, 560] | Detected Yellow dress at location [62, 231, 226, 530]
Detected yellow dress at location [64, 211, 226, 560] | [
64,
211,
226,
560
] |
COCO_train2014_000000565139.jpg | refcoco_images/COCO_train2014_000000565139.jpg | person on left | [165.97,,79.39,338.66,419.96] | <|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 Person at location [179, 79, 332, 424]
Detected Person at location [464, 95, 613, 424]
Detected Person at location [313, 69, 452, 424]
Detected person at location [174, 81, 334, 424]
Select the coordinates for the target object based on this Caption:'person on left'
Caption: 'person 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|>
| ['Person'] | Detected Person at location [179, 79, 332, 424]
Detected Person at location [464, 95, 613, 424]
Detected Person at location [313, 69, 452, 424]
Detected person on left at location [174, 81, 334, 424]
| [
174,
81,
334,
424
] | Detected person at location [174, 81, 334, 424] | Detected Person at location [179, 79, 332, 424]
Detected Person at location [464, 95, 613, 424]
Detected Person at location [313, 69, 452, 424]
Detected person at location [174, 81, 334, 424] | [
174,
81,
334,
424
] |
COCO_train2014_000000548240.jpg | refcoco_images/COCO_train2014_000000548240.jpg | The white truck | [,74.33,131.,,,480.,,,640.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Truck at location [72, 2, 479, 639]
Detected white truck at location [73, 124, 479, 639]
Select the coordinates for the target object based on this Caption:'The white truck'
Caption: 'The white truck'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Truck'] | Detected Truck at location [72, 2, 479, 639]
Detected The white truck at location [73, 124, 479, 639]
| [
73,
124,
479,
639
] | Detected white truck at location [73, 124, 479, 639] | Detected Truck at location [72, 2, 479, 639]
Detected white truck at location [73, 124, 479, 639] | [
73,
124,
479,
639
] |
COCO_train2014_000000546568.jpg | refcoco_images/COCO_train2014_000000546568.jpg | bike sprocket | [,,1.32,,,0.,,,612.,,,381.68] | <|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 [2, 0, 611, 394]
Detected bike sprocket at location [0, 0, 611, 399]
Select the coordinates for the target object based on this Caption:'bike sprocket'
Caption: 'bike sprocket'
. 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', 'Sprocket'] | Detected Bike at location [2, 0, 611, 394]
Detected bike sprocket at location [0, 0, 611, 399]
| [
0,
0,
611,
399
] | Detected bike sprocket at location [0, 0, 611, 399] | Detected Bike at location [2, 0, 611, 394]
Detected bike sprocket at location [0, 0, 611, 399] | [
0,
0,
611,
399
] |
COCO_train2014_000000569878.jpg | refcoco_images/COCO_train2014_000000569878.jpg | old dude in red shirt | [196.35,115.12,284.1,,354.81] | <|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 Dude at location [43, 80, 215, 424]
Detected Dude at location [197, 116, 301, 354]
Detected shirt at location [198, 153, 282, 248]
Detected old dude in red shirt at location [197, 118, 300, 355]
Select the coordinates for the target object based on this Caption:'old dude in red shirt'
Caption: 'old dude in red shirt'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Dude', 'Red shirt', 'Shirt'] | Detected Dude at location [43, 80, 215, 424]
Detected Dude at location [197, 116, 301, 354]
Detected shirt at location [198, 153, 282, 248]
Detected old dude in red shirt at location [197, 118, 300, 355]
| [
197,
118,
300,
355
] | Detected old dude in red shirt at location [197, 118, 300, 355] | Detected Dude at location [43, 80, 215, 424]
Detected Dude at location [197, 116, 301, 354]
Detected shirt at location [198, 153, 282, 248]
Detected old dude in red shirt at location [197, 118, 300, 355] | [
197,
118,
300,
355
] |
COCO_train2014_000000554566.jpg | refcoco_images/COCO_train2014_000000554566.jpg | left cow | [,,0.,,,,12.39,192.69,323.44] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Cow at location [81, 2, 431, 399]
Detected cow at location [2, 15, 194, 348]
Select the coordinates for the target object based on this Caption:'left cow'
Caption: 'left 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 [81, 2, 431, 399]
Detected left cow at location [2, 15, 194, 348]
| [
2,
15,
194,
348
] | Detected cow at location [2, 15, 194, 348] | Detected Cow at location [81, 2, 431, 399]
Detected cow at location [2, 15, 194, 348] | [
2,
15,
194,
348
] |
COCO_train2014_000000517931.jpg | refcoco_images/COCO_train2014_000000517931.jpg | man on left | [,,0.,,,,31.28,399.1,,446.56] | <|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 Man at location [4, 30, 428, 479]
Detected man at location [0, 31, 399, 444]
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 [4, 30, 428, 479]
Detected man on left at location [0, 31, 399, 444]
| [
0,
31,
399,
444
] | Detected man at location [0, 31, 399, 444] | Detected Man at location [4, 30, 428, 479]
Detected man at location [0, 31, 399, 444] | [
0,
31,
399,
444
] |
COCO_train2014_000000561594.jpg | refcoco_images/COCO_train2014_000000561594.jpg | seat brown | [432.76,220.1,,598.16,336.21] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Seat at location [432, 219, 639, 337]
Detected brown seat at location [432, 222, 597, 335]
Select the coordinates for the target object based on this Caption:'seat brown'
Caption: 'seat brown'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Seat', 'Brown'] | Detected Seat at location [432, 219, 639, 337]
Detected seat brown at location [432, 222, 597, 335]
| [
432,
222,
597,
335
] | Detected brown seat at location [432, 222, 597, 335] | Detected Seat at location [432, 219, 639, 337]
Detected brown seat at location [432, 222, 597, 335] | [
432,
222,
597,
335
] |
COCO_train2014_000000517981.jpg | refcoco_images/COCO_train2014_000000517981.jpg | bowl close to us | [,79.59,339.23,346.53,640.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Bowl at location [233, 207, 375, 325]
Detected bowl at location [78, 339, 344, 639]
Select the coordinates for the target object based on this Caption:'bowl close to us'
Caption: 'bowl close to us'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Bowl'] | Detected Bowl at location [233, 207, 375, 325]
Detected bowl close to us at location [78, 339, 344, 639]
| [
78,
339,
344,
639
] | Detected bowl at location [78, 339, 344, 639] | Detected Bowl at location [233, 207, 375, 325]
Detected bowl at location [78, 339, 344, 639] | [
78,
339,
344,
639
] |
COCO_train2014_000000534543.jpg | refcoco_images/COCO_train2014_000000534543.jpg | green tablecloth nearest | [,,0.,,,219.65,379.69,632.81] | <|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 Tablecloth at location [0, 0, 82, 52]
Detected green tablecloth at location [0, 219, 387, 638]
Select the coordinates for the target object based on this Caption:'green tablecloth nearest'
Caption: 'green tablecloth nearest'
. 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|>
| ['Tablecloth'] | Detected Tablecloth at location [0, 0, 82, 52]
Detected green tablecloth nearest at location [0, 219, 387, 638]
| [
0,
219,
387,
638
] | Detected green tablecloth at location [0, 219, 387, 638] | Detected Tablecloth at location [0, 0, 82, 52]
Detected green tablecloth at location [0, 219, 387, 638] | [
0,
219,
387,
638
] |
COCO_train2014_000000576389.jpg | refcoco_images/COCO_train2014_000000576389.jpg | glass of wine second from right | [310.89,118.99,395.51,333.7,] | <|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 Glass at location [18, 3, 551, 346]
Detected glass of wine at location [311, 120, 395, 334]
Select the coordinates for the target object based on this Caption:'glass of wine second from right'
Caption: 'glass of wine second 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|>
| ['Glass', 'Wine'] | Detected Glass at location [18, 3, 551, 346]
Detected glass of wine second from right at location [311, 120, 395, 334]
| [
311,
120,
395,
334
] | Detected glass of wine at location [311, 120, 395, 334] | Detected Glass at location [18, 3, 551, 346]
Detected glass of wine at location [311, 120, 395, 334] | [
311,
120,
395,
334
] |
COCO_train2014_000000549599.jpg | refcoco_images/COCO_train2014_000000549599.jpg | Woman far right | [450.52,,,9.35,582.15,368.38] | <|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 Woman at location [36, 27, 206, 415]
Detected Woman at location [450, 10, 581, 368]
Select the coordinates for the target object based on this Caption:'Woman far right'
Caption: 'Woman far right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Woman'] | Detected Woman at location [36, 27, 206, 415]
Detected Woman far right at location [450, 10, 581, 368]
| [
450,
10,
581,
368
] | Detected Woman at location [450, 10, 581, 368] | Detected Woman at location [36, 27, 206, 415]
Detected Woman at location [450, 10, 581, 368] | [
450,
10,
581,
368
] |
COCO_train2014_000000576389.jpg | refcoco_images/COCO_train2014_000000576389.jpg | front glass with white wine | [224.34,125.7,,314.53,341.03] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Glass at location [18, 3, 551, 346]
Detected white wine at location [224, 125, 312, 342]
Select the coordinates for the target object based on this Caption:'front glass with white wine'
Caption: 'front glass with white wine'
. 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', 'Wine'] | Detected Glass at location [18, 3, 551, 346]
Detected front glass with white wine at location [224, 125, 312, 342]
| [
224,
125,
312,
342
] | Detected white wine at location [224, 125, 312, 342] | Detected Glass at location [18, 3, 551, 346]
Detected white wine at location [224, 125, 312, 342] | [
224,
125,
312,
342
] |
COCO_train2014_000000544815.jpg | refcoco_images/COCO_train2014_000000544815.jpg | large black clock far right | [426.77,224.09,634.14,474.26] | <|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 Clock at location [101, 180, 356, 475]
Detected large black clock at location [426, 225, 639, 475]
Select the coordinates for the target object based on this Caption:'large black clock far right'
Caption: 'large black clock far right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Clock'] | Detected Clock at location [101, 180, 356, 475]
Detected large black clock far right at location [426, 225, 639, 475]
| [
426,
225,
639,
475
] | Detected large black clock at location [426, 225, 639, 475] | Detected Clock at location [101, 180, 356, 475]
Detected large black clock at location [426, 225, 639, 475] | [
426,
225,
639,
475
] |
COCO_train2014_000000571656.jpg | refcoco_images/COCO_train2014_000000571656.jpg | piece in middle | [338.82,187.48,478.87,400.94] | <|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 Piece at location [0, 0, 639, 479]
Detected piece at location [338, 187, 480, 401]
Select the coordinates for the target object based on this Caption:'piece in middle'
Caption: 'piece in middle'
. 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|>
| ['Piece'] | Detected Piece at location [0, 0, 639, 479]
Detected piece in middle at location [338, 187, 480, 401]
| [
338,
187,
480,
401
] | Detected piece at location [338, 187, 480, 401] | Detected Piece at location [0, 0, 639, 479]
Detected piece at location [338, 187, 480, 401] | [
338,
187,
480,
401
] |
COCO_train2014_000000552681.jpg | refcoco_images/COCO_train2014_000000552681.jpg | middle elephant | [251.4,,165.72,440.66,311.66] | <|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 Elephant at location [46, 147, 614, 331]
Detected Elephant at location [114, 151, 277, 332]
Detected Elephant at location [251, 163, 439, 312]
Detected middle elephant at location [251, 167, 438, 311]
Select the coordinates for the target object based on this Caption:'middle elephant'
Caption: 'middle 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 [46, 147, 614, 331]
Detected Elephant at location [114, 151, 277, 332]
Detected Elephant at location [251, 163, 439, 312]
Detected middle elephant at location [251, 167, 438, 311]
| [
251,
167,
438,
311
] | Detected middle elephant at location [251, 167, 438, 311] | Detected Elephant at location [46, 147, 614, 331]
Detected Elephant at location [114, 151, 277, 332]
Detected Elephant at location [251, 163, 439, 312]
Detected middle elephant at location [251, 167, 438, 311] | [
251,
167,
438,
311
] |
COCO_train2014_000000525813.jpg | refcoco_images/COCO_train2014_000000525813.jpg | cow middle | [135.64,132.98,417.63,345.07] | <|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 [135, 131, 418, 347]
Detected cow at location [136, 133, 418, 343]
Select the coordinates for the target object based on this Caption:'cow middle'
Caption: 'cow middle'
. 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 [135, 131, 418, 347]
Detected cow middle at location [136, 133, 418, 343]
| [
136,
133,
418,
343
] | Detected cow at location [136, 133, 418, 343] | Detected Cow at location [135, 131, 418, 347]
Detected cow at location [136, 133, 418, 343] | [
136,
133,
418,
343
] |
COCO_train2014_000000553865.jpg | refcoco_images/COCO_train2014_000000553865.jpg | arm on right | [342.44,103.06,424.,,,543.58] | <|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 Arm at location [169, 0, 212, 141]
Detected arm at location [342, 99, 423, 544]
Select the coordinates for the target object based on this Caption:'arm on right'
Caption: 'arm 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|>
| ['Arm'] | Detected Arm at location [169, 0, 212, 141]
Detected arm on right at location [342, 99, 423, 544]
| [
342,
99,
423,
544
] | Detected arm at location [342, 99, 423, 544] | Detected Arm at location [169, 0, 212, 141]
Detected arm at location [342, 99, 423, 544] | [
342,
99,
423,
544
] |
COCO_train2014_000000575417.jpg | refcoco_images/COCO_train2014_000000575417.jpg | person in black | [,,0.,,,106.18,124.24,332.69] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Black at location [12, 134, 123, 260]
Detected person in black at location [0, 107, 123, 332]
Select the coordinates for the target object based on this Caption:'person in black'
Caption: 'person in black'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Black'] | Detected Black at location [12, 134, 123, 260]
Detected person in black at location [0, 107, 123, 332]
| [
0,
107,
123,
332
] | Detected person in black at location [0, 107, 123, 332] | Detected Black at location [12, 134, 123, 260]
Detected person in black at location [0, 107, 123, 332] | [
0,
107,
123,
332
] |
COCO_train2014_000000563601.jpg | refcoco_images/COCO_train2014_000000563601.jpg | right | [386.78,,,0.,,,588.43,199.29] | <|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 [403, 192, 620, 445]
Select the coordinates for the target object based on this Caption:'right'
Caption: '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|>
| [] | Detected right at location [403, 192, 620, 445]
| [
403,
192,
620,
445
] | Detected at location [403, 192, 620, 445] | Detected at location [403, 192, 620, 445] | [
403,
192,
620,
445
] |
COCO_train2014_000000575703.jpg | refcoco_images/COCO_train2014_000000575703.jpg | black cow | [502.56,187.64,640.,,,353.43] | <|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 Cow at location [226, 41, 525, 382]
Detected black cow at location [503, 188, 639, 355]
Select the coordinates for the target object based on this Caption:'black cow'
Caption: 'black 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 [226, 41, 525, 382]
Detected black cow at location [503, 188, 639, 355]
| [
503,
188,
639,
355
] | Detected black cow at location [503, 188, 639, 355] | Detected Cow at location [226, 41, 525, 382]
Detected black cow at location [503, 188, 639, 355] | [
503,
188,
639,
355
] |
COCO_train2014_000000517981.jpg | refcoco_images/COCO_train2014_000000517981.jpg | bowl in middle with spoon and redish insides | [234.95,211.17,374.77,326.49] | <|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 Bowl at location [233, 208, 375, 325]
Detected bowl at location [234, 211, 374, 325]
Select the coordinates for the target object based on this Caption:'bowl in middle with spoon and redish insides'
Caption: 'bowl in middle with spoon and redish insides'
. 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|>
| ['Bowl', 'Spoon', 'Redish'] | Detected Bowl at location [233, 208, 375, 325]
Detected bowl in middle with spoon and redish insides at location [234, 211, 374, 325]
| [
234,
211,
374,
325
] | Detected bowl at location [234, 211, 374, 325] | Detected Bowl at location [233, 208, 375, 325]
Detected bowl at location [234, 211, 374, 325] | [
234,
211,
374,
325
] |
COCO_train2014_000000574368.jpg | refcoco_images/COCO_train2014_000000574368.jpg | red left | [,,4.8,,145.85,298.42,420.28] | <|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 Red at location [4, 146, 296, 423]
Detected red at location [4, 145, 299, 426]
Select the coordinates for the target object based on this Caption:'red left'
Caption: 'red left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Red'] | Detected Red at location [4, 146, 296, 423]
Detected red left at location [4, 145, 299, 426]
| [
4,
145,
299,
426
] | Detected red at location [4, 145, 299, 426] | Detected Red at location [4, 146, 296, 423]
Detected red at location [4, 145, 299, 426] | [
4,
145,
299,
426
] |
COCO_train2014_000000537293.jpg | refcoco_images/COCO_train2014_000000537293.jpg | women | [,29.91,,,0.,,,311.35,238.99] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Women at location [41, 2, 450, 639]
Detected Women at location [42, 2, 397, 639]
Detected women at location [41, 2, 397, 639]
Select the coordinates for the target object based on this Caption:'women'
Caption: 'women'
. 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|>
| ['Women'] | Detected Women at location [41, 2, 450, 639]
Detected Women at location [42, 2, 397, 639]
Detected women at location [41, 2, 397, 639]
| [
41,
2,
397,
639
] | Detected women at location [41, 2, 397, 639] | Detected Women at location [41, 2, 450, 639]
Detected Women at location [42, 2, 397, 639]
Detected women at location [41, 2, 397, 639] | [
41,
2,
397,
639
] |
COCO_train2014_000000561692.jpg | refcoco_images/COCO_train2014_000000561692.jpg | girl red coat | [360.45,174.62,530.24,416.5,] | <|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 [357, 172, 527, 423]
Detected Red coat at location [358, 242, 527, 423]
Detected girl red coat at location [360, 175, 528, 423]
Select the coordinates for the target object based on this Caption:'girl red coat'
Caption: 'girl red coat'
. 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', 'Red coat'] | Detected Girl at location [357, 172, 527, 423]
Detected Red coat at location [358, 242, 527, 423]
Detected girl red coat at location [360, 175, 528, 423]
| [
360,
175,
528,
423
] | Detected girl red coat at location [360, 175, 528, 423] | Detected Girl at location [357, 172, 527, 423]
Detected Red coat at location [358, 242, 527, 423]
Detected girl red coat at location [360, 175, 528, 423] | [
360,
175,
528,
423
] |
COCO_train2014_000000572550.jpg | refcoco_images/COCO_train2014_000000572550.jpg | left person | [152.91,,77.42,267.22,274.57] | <|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 Person at location [235, 144, 377, 360]
Detected person at location [152, 79, 267, 275]
Select the coordinates for the target object based on this Caption:'left person'
Caption: 'left 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 [235, 144, 377, 360]
Detected left person at location [152, 79, 267, 275]
| [
152,
79,
267,
275
] | Detected person at location [152, 79, 267, 275] | Detected Person at location [235, 144, 377, 360]
Detected person at location [152, 79, 267, 275] | [
152,
79,
267,
275
] |
COCO_train2014_000000558166.jpg | refcoco_images/COCO_train2014_000000558166.jpg | woman in black with tan collar short blond hair\\ | [183.9,,245.62,279.55,443.59] | <|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 Woman at location [381, 179, 553, 461]
Detected hair at location [402, 180, 462, 234]
Detected woman in black at location [178, 247, 275, 444]
Select the coordinates for the target object based on this Caption:'woman in black with tan collar short blond hair\\'
Caption: 'woman in black with tan collar short blond hair\\'
. 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', 'Black', 'Tan collar', 'Short blond hair'] | Detected Woman at location [381, 179, 553, 461]
Detected hair at location [402, 180, 462, 234]
Detected woman in black with tan collar short blond hair\\ at location [178, 247, 275, 444]
| [
178,
247,
275,
444
] | Detected woman in black at location [178, 247, 275, 444] | Detected Woman at location [381, 179, 553, 461]
Detected hair at location [402, 180, 462, 234]
Detected woman in black at location [178, 247, 275, 444] | [
178,
247,
275,
444
] |
COCO_train2014_000000544475.jpg | refcoco_images/COCO_train2014_000000544475.jpg | woman in black tank | [,71.33,,47.95,275.67,298.56] | <|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 Black tank at location [364, 0, 639, 321]
Detected woman at location [69, 48, 275, 299]
Select the coordinates for the target object based on this Caption:'woman in black tank'
Caption: 'woman in black tank'
. 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 tank'] | Detected Black tank at location [364, 0, 639, 321]
Detected woman in black tank at location [69, 48, 275, 299]
| [
69,
48,
275,
299
] | Detected woman at location [69, 48, 275, 299] | Detected Black tank at location [364, 0, 639, 321]
Detected woman at location [69, 48, 275, 299] | [
69,
48,
275,
299
] |
COCO_train2014_000000548889.jpg | refcoco_images/COCO_train2014_000000548889.jpg | right woman | [225.5,,,88.26,447.79,479.13] | <|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 Woman at location [222, 89, 446, 479]
Detected woman at location [224, 88, 446, 479]
Select the coordinates for the target object based on this Caption:'right woman'
Caption: 'right woman'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Woman'] | Detected Woman at location [222, 89, 446, 479]
Detected right woman at location [224, 88, 446, 479]
| [
224,
88,
446,
479
] | Detected woman at location [224, 88, 446, 479] | Detected Woman at location [222, 89, 446, 479]
Detected woman at location [224, 88, 446, 479] | [
224,
88,
446,
479
] |
COCO_train2014_000000517985.jpg | refcoco_images/COCO_train2014_000000517985.jpg | Far left: broc | [,,0.,,,147.74,168.68,358.3,] | <|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 Broc at location [346, 58, 624, 236]
Select the coordinates for the target object based on this Caption:'Far left: broc'
Caption: 'Far left: broc'
. 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|>
| ['Broc'] | Detected Broc at location [346, 58, 624, 236]
| [
346,
58,
624,
236
] | Detected Broc at location [346, 58, 624, 236] | Detected Broc at location [346, 58, 624, 236] | [
346,
58,
624,
236
] |
COCO_train2014_000000516712.jpg | refcoco_images/COCO_train2014_000000516712.jpg | person in red shirt | [262.6,,,60.42,403.88,232.23] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Red shirt at location [281, 109, 386, 178]
Detected person in red shirt at location [262, 61, 403, 229]
Select the coordinates for the target object based on this Caption:'person in red shirt'
Caption: 'person in red shirt'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Red shirt', 'Shirt'] | Detected Red shirt at location [281, 109, 386, 178]
Detected person in red shirt at location [262, 61, 403, 229]
| [
262,
61,
403,
229
] | Detected person in red shirt at location [262, 61, 403, 229] | Detected Red shirt at location [281, 109, 386, 178]
Detected person in red shirt at location [262, 61, 403, 229] | [
262,
61,
403,
229
] |
COCO_train2014_000000542541.jpg | refcoco_images/COCO_train2014_000000542541.jpg | FRONT MIDDLE TRUCK | [,93.5,,,65.88,357.56,309.16] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Truck at location [299, 77, 555, 384]
Select the coordinates for the target object based on this Caption:'FRONT MIDDLE TRUCK'
Caption: 'FRONT MIDDLE TRUCK'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Truck'] | Detected Truck at location [299, 77, 555, 384]
| [
299,
77,
555,
384
] | Detected Truck at location [299, 77, 555, 384] | Detected Truck at location [299, 77, 555, 384] | [
299,
77,
555,
384
] |
COCO_train2014_000000543732.jpg | refcoco_images/COCO_train2014_000000543732.jpg | far right cpomp | [446.53,102.29,603.89,255.72] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Cpomp at location [437, 96, 606, 279]
Detected cpomp at location [444, 101, 604, 277]
Select the coordinates for the target object based on this Caption:'far right cpomp'
Caption: 'far right cpomp'
. 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|>
| ['Cpomp'] | Detected Cpomp at location [437, 96, 606, 279]
Detected far right cpomp at location [444, 101, 604, 277]
| [
444,
101,
604,
277
] | Detected cpomp at location [444, 101, 604, 277] | Detected Cpomp at location [437, 96, 606, 279]
Detected cpomp at location [444, 101, 604, 277] | [
444,
101,
604,
277
] |
COCO_train2014_000000561308.jpg | refcoco_images/COCO_train2014_000000561308.jpg | black shirt on right, back to camera | [4.6648e+02,2.7000e-01,5.7160e+02,2.8228e+02] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Black shirt at location [464, 27, 572, 154]
Detected black shirt at location [466, 0, 570, 281]
Select the coordinates for the target object based on this Caption:'black shirt on right, back to camera'
Caption: 'black shirt on right, back to camera'
. 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'] | Detected Black shirt at location [464, 27, 572, 154]
Detected black shirt on right, back to camera at location [466, 0, 570, 281]
| [
466,
0,
570,
281
] | Detected black shirt at location [466, 0, 570, 281] | Detected Black shirt at location [464, 27, 572, 154]
Detected black shirt at location [466, 0, 570, 281] | [
466,
0,
570,
281
] |
COCO_train2014_000000578037.jpg | refcoco_images/COCO_train2014_000000578037.jpg | guy in black shirt next to yello shirt guy | [462.56,,83.03,541.97,316.22] | <|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 Black shirt at location [243, 62, 343, 384]
Detected shirt at location [553, 109, 629, 194]
Detected Guy at location [243, 62, 343, 384]
Detected guy in black shirt at location [463, 82, 542, 315]
Select the coordinates for the target object based on this Caption:'guy in black shirt next to yello shirt guy'
Caption: 'guy in black shirt next to yello shirt 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|>
| ['Black shirt', 'Yellow shirt', 'Shirt', 'Guy'] | Detected Black shirt at location [243, 62, 343, 384]
Detected shirt at location [553, 109, 629, 194]
Detected Guy at location [243, 62, 343, 384]
Detected guy in black shirt next to yello shirt guy at location [463, 82, 542, 315]
| [
463,
82,
542,
315
] | Detected guy in black shirt at location [463, 82, 542, 315] | Detected Black shirt at location [243, 62, 343, 384]
Detected shirt at location [553, 109, 629, 194]
Detected Guy at location [243, 62, 343, 384]
Detected guy in black shirt at location [463, 82, 542, 315] | [
463,
82,
542,
315
] |
COCO_train2014_000000516488.jpg | refcoco_images/COCO_train2014_000000516488.jpg | man with long black tie on left | [,23.73,,60.4,,145.62,471.37] | <|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 Man at location [119, 56, 315, 479]
Detected man at location [25, 61, 144, 479]
Select the coordinates for the target object based on this Caption:'man with long black tie on left'
Caption: 'man with long black tie 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', 'Long black tie'] | Detected Man at location [119, 56, 315, 479]
Detected man with long black tie on left at location [25, 61, 144, 479]
| [
25,
61,
144,
479
] | Detected man at location [25, 61, 144, 479] | Detected Man at location [119, 56, 315, 479]
Detected man at location [25, 61, 144, 479] | [
25,
61,
144,
479
] |
COCO_train2014_000000540899.jpg | refcoco_images/COCO_train2014_000000540899.jpg | Dark blue car behind light blue car | [437.93,255.64,640.,,,441.17] | <|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 Car at location [440, 255, 639, 441]
Detected Car at location [195, 176, 386, 300]
Detected Dark blue car at location [439, 257, 639, 442]
Select the coordinates for the target object based on this Caption:'Dark blue car behind light blue car'
Caption: 'Dark blue car behind light blue car'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Car'] | Detected Car at location [440, 255, 639, 441]
Detected Car at location [195, 176, 386, 300]
Detected Dark blue car behind light blue car at location [439, 257, 639, 442]
| [
439,
257,
639,
442
] | Detected Dark blue car at location [439, 257, 639, 442] | Detected Car at location [440, 255, 639, 441]
Detected Car at location [195, 176, 386, 300]
Detected Dark blue car at location [439, 257, 639, 442] | [
439,
257,
639,
442
] |
COCO_train2014_000000528687.jpg | refcoco_images/COCO_train2014_000000528687.jpg | seat shes sitting in | [271.79,,43.64,604.68,472.52] | <|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 Seat at location [272, 42, 603, 479]
Detected seat at location [270, 43, 604, 479]
Select the coordinates for the target object based on this Caption:'seat shes sitting in'
Caption: 'seat shes sitting in'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Seat'] | Detected Seat at location [272, 42, 603, 479]
Detected seat shes sitting in at location [270, 43, 604, 479]
| [
270,
43,
604,
479
] | Detected seat at location [270, 43, 604, 479] | Detected Seat at location [272, 42, 603, 479]
Detected seat at location [270, 43, 604, 479] | [
270,
43,
604,
479
] |
COCO_train2014_000000535265.jpg | refcoco_images/COCO_train2014_000000535265.jpg | lady enjoying life | [,60.27,231.17,176.5,,460.77] | <|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 Lady at location [250, 104, 445, 460]
Detected lady at location [64, 232, 174, 462]
Select the coordinates for the target object based on this Caption:'lady enjoying life'
Caption: 'lady enjoying life'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Lady'] | Detected Lady at location [250, 104, 445, 460]
Detected lady enjoying life at location [64, 232, 174, 462]
| [
64,
232,
174,
462
] | Detected lady at location [64, 232, 174, 462] | Detected Lady at location [250, 104, 445, 460]
Detected lady at location [64, 232, 174, 462] | [
64,
232,
174,
462
] |
COCO_train2014_000000571653.jpg | refcoco_images/COCO_train2014_000000571653.jpg | girl in middle | [194.12,,81.23,430.65,355.52] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Girl at location [190, 80, 433, 359]
Detected Girl at location [427, 89, 639, 359]
Detected girl at location [190, 80, 432, 359]
Select the coordinates for the target object based on this Caption:'girl in middle'
Caption: 'girl in middle'
. 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 [190, 80, 433, 359]
Detected Girl at location [427, 89, 639, 359]
Detected girl in middle at location [190, 80, 432, 359]
| [
190,
80,
432,
359
] | Detected girl at location [190, 80, 432, 359] | Detected Girl at location [190, 80, 433, 359]
Detected Girl at location [427, 89, 639, 359]
Detected girl at location [190, 80, 432, 359] | [
190,
80,
432,
359
] |
COCO_train2014_000000551542.jpg | refcoco_images/COCO_train2014_000000551542.jpg | parking meter on the left | [,39.04,191.91,172.39,502.32] | <|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 Parking meter at location [36, 192, 171, 501]
Detected parking meter at location [39, 192, 172, 501]
Select the coordinates for the target object based on this Caption:'parking meter on the left'
Caption: 'parking meter 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|>
| ['Parking meter'] | Detected Parking meter at location [36, 192, 171, 501]
Detected parking meter on the left at location [39, 192, 172, 501]
| [
39,
192,
172,
501
] | Detected parking meter at location [39, 192, 172, 501] | Detected Parking meter at location [36, 192, 171, 501]
Detected parking meter at location [39, 192, 172, 501] | [
39,
192,
172,
501
] |
COCO_train2014_000000519429.jpg | refcoco_images/COCO_train2014_000000519429.jpg | bending man on left with white shirt | [,,3.23,,51.98,306.76,350.15] | <|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 Man at location [0, 46, 311, 354]
Detected shirt at location [23, 67, 268, 302]
Detected man at location [0, 50, 306, 350]
Select the coordinates for the target object based on this Caption:'bending man on left with white shirt'
Caption: 'bending man on left with 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'] | Detected Man at location [0, 46, 311, 354]
Detected shirt at location [23, 67, 268, 302]
Detected bending man on left with white shirt at location [0, 50, 306, 350]
| [
0,
50,
306,
350
] | Detected man at location [0, 50, 306, 350] | Detected Man at location [0, 46, 311, 354]
Detected shirt at location [23, 67, 268, 302]
Detected man at location [0, 50, 306, 350] | [
0,
50,
306,
350
] |
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