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_000000522062.jpg | refcoco_images/COCO_train2014_000000522062.jpg | man in background | [132.58,130.34,230.34,492.13] | <|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 Man at location [20, 124, 258, 639]
Detected man at location [168, 173, 292, 639]
Select the coordinates for the target object based on this Caption:'man in background'
Caption: 'man in background'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> 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 [20, 124, 258, 639]
Detected man in background at location [168, 173, 292, 639]
| [
168,
173,
292,
639
] | Detected man at location [168, 173, 292, 639] | Detected Man at location [20, 124, 258, 639]
Detected man at location [168, 173, 292, 639] | [
168,
173,
292,
639
] |
COCO_train2014_000000579446.jpg | refcoco_images/COCO_train2014_000000579446.jpg | far right red chair | [177.55,496.86,381.25,633.12] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Chair at location [17, 366, 379, 639]
Detected red chair at location [178, 496, 381, 639]
Select the coordinates for the target object based on this Caption:'far right red chair'
Caption: 'far right red chair'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Chair'] | Detected Chair at location [17, 366, 379, 639]
Detected far right red chair at location [178, 496, 381, 639]
| [
178,
496,
381,
639
] | Detected red chair at location [178, 496, 381, 639] | Detected Chair at location [17, 366, 379, 639]
Detected red chair at location [178, 496, 381, 639] | [
178,
496,
381,
639
] |
COCO_train2014_000000578459.jpg | refcoco_images/COCO_train2014_000000578459.jpg | blue kid close to cam on left | [174.65,240.36,278.31,471.34] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Kid at location [373, 278, 515, 479]
Detected Kid at location [270, 268, 383, 479]
Detected blue kid at location [174, 240, 278, 474]
Select the coordinates for the target object based on this Caption:'blue kid close to cam on left'
Caption: 'blue kid close to cam 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|>
| ['Kid'] | Detected Kid at location [373, 278, 515, 479]
Detected Kid at location [270, 268, 383, 479]
Detected blue kid close to cam on left at location [174, 240, 278, 474]
| [
174,
240,
278,
474
] | Detected blue kid at location [174, 240, 278, 474] | Detected Kid at location [373, 278, 515, 479]
Detected Kid at location [270, 268, 383, 479]
Detected blue kid at location [174, 240, 278, 474] | [
174,
240,
278,
474
] |
COCO_train2014_000000547318.jpg | refcoco_images/COCO_train2014_000000547318.jpg | boat with blue trim | [308.88,264.75,638.21,390.67] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Boat at location [99, 128, 581, 384]
Detected boat at location [309, 266, 639, 390]
Select the coordinates for the target object based on this Caption:'boat with blue trim'
Caption: 'boat with blue trim'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Boat', 'Trim'] | Detected Boat at location [99, 128, 581, 384]
Detected boat with blue trim at location [309, 266, 639, 390]
| [
309,
266,
639,
390
] | Detected boat at location [309, 266, 639, 390] | Detected Boat at location [99, 128, 581, 384]
Detected boat at location [309, 266, 639, 390] | [
309,
266,
639,
390
] |
COCO_train2014_000000536237.jpg | refcoco_images/COCO_train2014_000000536237.jpg | man on bed | [138.69,225.64,640.,,,465.1,] | <|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 Man at location [133, 231, 639, 445]
Detected Bed at location [2, 141, 639, 479]
Detected man at location [135, 233, 639, 442]
Select the coordinates for the target object based on this Caption:'man on bed'
Caption: 'man on 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|>
| ['Man', 'Bed'] | Detected Man at location [133, 231, 639, 445]
Detected Bed at location [2, 141, 639, 479]
Detected man on bed at location [135, 233, 639, 442]
| [
135,
233,
639,
442
] | Detected man at location [135, 233, 639, 442] | Detected Man at location [133, 231, 639, 445]
Detected Bed at location [2, 141, 639, 479]
Detected man at location [135, 233, 639, 442] | [
135,
233,
639,
442
] |
COCO_train2014_000000531201.jpg | refcoco_images/COCO_train2014_000000531201.jpg | THECOACH WATCHING THE GAME | [,92.97,,,3.24,259.46,351.35] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Coach at location [94, 2, 258, 354]
Detected coach at location [92, 0, 258, 350]
Select the coordinates for the target object based on this Caption:'THECOACH WATCHING THE GAME'
Caption: 'THECOACH WATCHING THE GAME'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Coach', 'Game'] | Detected Coach at location [94, 2, 258, 354]
Detected THECOACH WATCHING THE GAME at location [92, 0, 258, 350]
| [
92,
0,
258,
350
] | Detected coach at location [92, 0, 258, 350] | Detected Coach at location [94, 2, 258, 354]
Detected coach at location [92, 0, 258, 350] | [
92,
0,
258,
350
] |
COCO_train2014_000000524291.jpg | refcoco_images/COCO_train2014_000000524291.jpg | it okay dog laying down | [,,0.,,,231.78,285.83,341.72] | <|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 Dog at location [279, 149, 630, 422]
Detected dog at location [0, 234, 284, 341]
Select the coordinates for the target object based on this Caption:'it okay dog laying down'
Caption: 'it okay dog laying down'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Dog'] | Detected Dog at location [279, 149, 630, 422]
Detected it okay dog laying down at location [0, 234, 284, 341]
| [
0,
234,
284,
341
] | Detected dog at location [0, 234, 284, 341] | Detected Dog at location [279, 149, 630, 422]
Detected dog at location [0, 234, 284, 341] | [
0,
234,
284,
341
] |
COCO_train2014_000000537326.jpg | refcoco_images/COCO_train2014_000000537326.jpg | luggage w/ flag | [312.04,394.4,,442.71,506.29] | <|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 Luggage at location [75, 262, 215, 508]
Detected Luggage at location [311, 287, 452, 508]
Detected luggage at location [313, 395, 443, 506]
Select the coordinates for the target object based on this Caption:'luggage w/ flag'
Caption: 'luggage w/ flag'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Luggage', 'Flag'] | Detected Luggage at location [75, 262, 215, 508]
Detected Luggage at location [311, 287, 452, 508]
Detected luggage w/ flag at location [313, 395, 443, 506]
| [
313,
395,
443,
506
] | Detected luggage at location [313, 395, 443, 506] | Detected Luggage at location [75, 262, 215, 508]
Detected Luggage at location [311, 287, 452, 508]
Detected luggage at location [313, 395, 443, 506] | [
313,
395,
443,
506
] |
COCO_train2014_000000524935.jpg | refcoco_images/COCO_train2014_000000524935.jpg | Center brown donut with white stuff in the center | [201.71,130.34,465.98,266.25] | <|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 Donut at location [3, 12, 639, 472]
Detected Donut at location [208, 251, 505, 472]
Detected Donut at location [1, 171, 227, 388]
Detected brown donut at location [202, 130, 464, 260]
Select the coordinates for the target object based on this Caption:'Center brown donut with white stuff in the center'
Caption: 'Center brown donut with white stuff in the center'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Donut', 'Stuff'] | Detected Donut at location [3, 12, 639, 472]
Detected Donut at location [208, 251, 505, 472]
Detected Donut at location [1, 171, 227, 388]
Detected Center brown donut with white stuff in the center at location [202, 130, 464, 260]
| [
202,
130,
464,
260
] | Detected brown donut at location [202, 130, 464, 260] | Detected Donut at location [3, 12, 639, 472]
Detected Donut at location [208, 251, 505, 472]
Detected Donut at location [1, 171, 227, 388]
Detected brown donut at location [202, 130, 464, 260] | [
202,
130,
464,
260
] |
COCO_train2014_000000553038.jpg | refcoco_images/COCO_train2014_000000553038.jpg | the one behind the one ready to dive | [280.87,,,0.9,,385.8,,202.11] | <|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 One,One, at location [138, 122, 352, 263]
Detected one at location [281, 0, 384, 201]
Select the coordinates for the target object based on this Caption:'the one behind the one ready to dive'
Caption: 'the one behind the one ready to dive'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['One', 'One'] | Detected One,One, at location [138, 122, 352, 263]
Detected the one behind the one ready to dive at location [281, 0, 384, 201]
| [
281,
0,
384,
201
] | Detected one at location [281, 0, 384, 201] | Detected One,One, at location [138, 122, 352, 263]
Detected one at location [281, 0, 384, 201] | [
281,
0,
384,
201
] |
COCO_train2014_000000560992.jpg | refcoco_images/COCO_train2014_000000560992.jpg | bike on the left | [,,0.44,133.41,153.67,341.36] | <|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 Bike at location [54, 76, 477, 639]
Detected bike at location [1, 111, 165, 341]
Select the coordinates for the target object based on this Caption:'bike on the left'
Caption: 'bike 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|>
| ['Bike'] | Detected Bike at location [54, 76, 477, 639]
Detected bike on the left at location [1, 111, 165, 341]
| [
1,
111,
165,
341
] | Detected bike at location [1, 111, 165, 341] | Detected Bike at location [54, 76, 477, 639]
Detected bike at location [1, 111, 165, 341] | [
1,
111,
165,
341
] |
COCO_train2014_000000567717.jpg | refcoco_images/COCO_train2014_000000567717.jpg | guy squatting | [154.08,153.15,277.35,363.69] | <|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 Guy at location [90, 71, 183, 334]
Detected guy at location [154, 154, 278, 364]
Select the coordinates for the target object based on this Caption:'guy squatting'
Caption: 'guy squatting'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Guy'] | Detected Guy at location [90, 71, 183, 334]
Detected guy squatting at location [154, 154, 278, 364]
| [
154,
154,
278,
364
] | Detected guy at location [154, 154, 278, 364] | Detected Guy at location [90, 71, 183, 334]
Detected guy at location [154, 154, 278, 364] | [
154,
154,
278,
364
] |
COCO_train2014_000000532734.jpg | refcoco_images/COCO_train2014_000000532734.jpg | pink skirt | [,,0.,,,,92.88,,75.46,586.3,] | <|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 Pink skirt at location [0, 287, 80, 396]
Detected pink skirt at location [0, 92, 78, 585]
Select the coordinates for the target object based on this Caption:'pink skirt'
Caption: 'pink skirt'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Pink skirt'] | Detected Pink skirt at location [0, 287, 80, 396]
Detected pink skirt at location [0, 92, 78, 585]
| [
0,
92,
78,
585
] | Detected pink skirt at location [0, 92, 78, 585] | Detected Pink skirt at location [0, 287, 80, 396]
Detected pink skirt at location [0, 92, 78, 585] | [
0,
92,
78,
585
] |
COCO_train2014_000000523989.jpg | refcoco_images/COCO_train2014_000000523989.jpg | board worked on | [,,1.51,243.95,335.81,629.46] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Board at location [3, 245, 342, 628]
Detected board at location [0, 244, 335, 630]
Select the coordinates for the target object based on this Caption:'board worked on'
Caption: 'board worked on'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Board'] | Detected Board at location [3, 245, 342, 628]
Detected board worked on at location [0, 244, 335, 630]
| [
0,
244,
335,
630
] | Detected board at location [0, 244, 335, 630] | Detected Board at location [3, 245, 342, 628]
Detected board at location [0, 244, 335, 630] | [
0,
244,
335,
630
] |
COCO_train2014_000000533220.jpg | refcoco_images/COCO_train2014_000000533220.jpg | man all way on right | [461.5,,131.59,639.17,422.62] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Man at location [449, 133, 636, 422]
Detected Man at location [88, 130, 265, 391]
Detected man at location [449, 134, 639, 426]
Select the coordinates for the target object based on this Caption:'man all way on right'
Caption: 'man all way 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|>
| ['Man'] | Detected Man at location [449, 133, 636, 422]
Detected Man at location [88, 130, 265, 391]
Detected man all way on right at location [449, 134, 639, 426]
| [
449,
134,
639,
426
] | Detected man at location [449, 134, 639, 426] | Detected Man at location [449, 133, 636, 422]
Detected Man at location [88, 130, 265, 391]
Detected man at location [449, 134, 639, 426] | [
449,
134,
639,
426
] |
COCO_train2014_000000564491.jpg | refcoco_images/COCO_train2014_000000564491.jpg | bottom | [125.39,323.67,407.26,469.43] | <|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 bottom at location [464, 326, 639, 477]
Select the coordinates for the target object based on this Caption:'bottom'
Caption: 'bottom'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> 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 bottom at location [464, 326, 639, 477]
| [
464,
326,
639,
477
] | Detected bottom at location [464, 326, 639, 477] | Detected bottom at location [464, 326, 639, 477] | [
464,
326,
639,
477
] |
COCO_train2014_000000548647.jpg | refcoco_images/COCO_train2014_000000548647.jpg | far left person | [,,0.,,,182.29,108.94,472.45] | <|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 Person at location [304, 71, 475, 479]
Detected person at location [0, 182, 108, 479]
Select the coordinates for the target object based on this Caption:'far left person'
Caption: 'far 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 [304, 71, 475, 479]
Detected far left person at location [0, 182, 108, 479]
| [
0,
182,
108,
479
] | Detected person at location [0, 182, 108, 479] | Detected Person at location [304, 71, 475, 479]
Detected person at location [0, 182, 108, 479] | [
0,
182,
108,
479
] |
COCO_train2014_000000531834.jpg | refcoco_images/COCO_train2014_000000531834.jpg | chair on far wall | [289.4,,167.56,432.44,287.31] | <|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 Chair at location [289, 164, 432, 300]
Detected chair at location [292, 168, 431, 300]
Select the coordinates for the target object based on this Caption:'chair on far wall'
Caption: 'chair on far wall'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Chair'] | Detected Chair at location [289, 164, 432, 300]
Detected chair on far wall at location [292, 168, 431, 300]
| [
292,
168,
431,
300
] | Detected chair at location [292, 168, 431, 300] | Detected Chair at location [289, 164, 432, 300]
Detected chair at location [292, 168, 431, 300] | [
292,
168,
431,
300
] |
COCO_train2014_000000565940.jpg | refcoco_images/COCO_train2014_000000565940.jpg | left couch | [,23.76,239.68,223.7,,407.66] | <|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 Couch at location [411, 221, 639, 390]
Detected couch at location [23, 239, 222, 404]
Select the coordinates for the target object based on this Caption:'left couch'
Caption: 'left 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|>
| ['Couch'] | Detected Couch at location [411, 221, 639, 390]
Detected left couch at location [23, 239, 222, 404]
| [
23,
239,
222,
404
] | Detected couch at location [23, 239, 222, 404] | Detected Couch at location [411, 221, 639, 390]
Detected couch at location [23, 239, 222, 404] | [
23,
239,
222,
404
] |
COCO_train2014_000000556591.jpg | refcoco_images/COCO_train2014_000000556591.jpg | the right yellowish thing sticking up | [124.04,190.59,280.45,380.43] | <|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 Thing at location [334, 120, 544, 479]
Detected Thing at location [335, 121, 542, 451]
Detected yellowish thing at location [124, 187, 275, 479]
Select the coordinates for the target object based on this Caption:'the right yellowish thing sticking up'
Caption: 'the right yellowish thing sticking up'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Thing'] | Detected Thing at location [334, 120, 544, 479]
Detected Thing at location [335, 121, 542, 451]
Detected the right yellowish thing sticking up at location [124, 187, 275, 479]
| [
124,
187,
275,
479
] | Detected yellowish thing at location [124, 187, 275, 479] | Detected Thing at location [334, 120, 544, 479]
Detected Thing at location [335, 121, 542, 451]
Detected yellowish thing at location [124, 187, 275, 479] | [
124,
187,
275,
479
] |
COCO_train2014_000000549330.jpg | refcoco_images/COCO_train2014_000000549330.jpg | white shirt back | [159.28,,,0.,,,343.32,280.9,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected White shirt at location [4, 143, 253, 320]
Detected white shirt at location [159, 0, 343, 280]
Select the coordinates for the target object based on this Caption:'white shirt back'
Caption: 'white shirt back'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['White shirt', 'Shirt'] | Detected White shirt at location [4, 143, 253, 320]
Detected white shirt back at location [159, 0, 343, 280]
| [
159,
0,
343,
280
] | Detected white shirt at location [159, 0, 343, 280] | Detected White shirt at location [4, 143, 253, 320]
Detected white shirt at location [159, 0, 343, 280] | [
159,
0,
343,
280
] |
COCO_train2014_000000564926.jpg | refcoco_images/COCO_train2014_000000564926.jpg | GIANT BROCLI ON RIGHT | [295.91,,,3.98,517.85,136.36] | <|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 Giant Broccoli at location [236, 154, 354, 264]
Detected GIANT BROCCOLI at location [295, 0, 517, 133]
Select the coordinates for the target object based on this Caption:'GIANT BROCLI ON RIGHT'
Caption: 'GIANT BROCLI 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|>
| ['Giant Broccoli'] | Detected Giant Broccoli at location [236, 154, 354, 264]
Detected GIANT BROCLI ON RIGHT at location [295, 0, 517, 133]
| [
295,
0,
517,
133
] | Detected GIANT BROCCOLI at location [295, 0, 517, 133] | Detected Giant Broccoli at location [236, 154, 354, 264]
Detected GIANT BROCCOLI at location [295, 0, 517, 133] | [
295,
0,
517,
133
] |
COCO_train2014_000000518647.jpg | refcoco_images/COCO_train2014_000000518647.jpg | man in white | [133.77,,,0.,,,640.,,,479.63] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Man at location [132, 0, 639, 479]
Detected man in white at location [132, 0, 639, 479]
Select the coordinates for the target object based on this Caption:'man in white'
Caption: 'man in white'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Man', 'White'] | Detected Man at location [132, 0, 639, 479]
Detected man in white at location [132, 0, 639, 479]
| [
132,
0,
639,
479
] | Detected man in white at location [132, 0, 639, 479] | Detected Man at location [132, 0, 639, 479]
Detected man in white at location [132, 0, 639, 479] | [
132,
0,
639,
479
] |
COCO_train2014_000000517985.jpg | refcoco_images/COCO_train2014_000000517985.jpg | broccoli on the right | [347.86,,58.73,620.05,237.18] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Broccoli at location [346, 58, 624, 236]
Detected broccoli at location [344, 58, 622, 235]
Select the coordinates for the target object based on this Caption:'broccoli on the right'
Caption: 'broccoli on the right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Broccoli'] | Detected Broccoli at location [346, 58, 624, 236]
Detected broccoli on the right at location [344, 58, 622, 235]
| [
344,
58,
622,
235
] | Detected broccoli at location [344, 58, 622, 235] | Detected Broccoli at location [346, 58, 624, 236]
Detected broccoli at location [344, 58, 622, 235] | [
344,
58,
622,
235
] |
COCO_train2014_000000561382.jpg | refcoco_images/COCO_train2014_000000561382.jpg | woman with beige umbrella, right side | [434.76,109.8,,524.6,,338.27] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Woman at location [231, 97, 363, 408]
Detected Umbrella at location [238, 98, 363, 264]
Detected woman at location [434, 110, 522, 335]
Select the coordinates for the target object based on this Caption:'woman with beige umbrella, right side'
Caption: 'woman with beige umbrella, right 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|>
| ['Woman', 'Umbrella'] | Detected Woman at location [231, 97, 363, 408]
Detected Umbrella at location [238, 98, 363, 264]
Detected woman with beige umbrella, right side at location [434, 110, 522, 335]
| [
434,
110,
522,
335
] | Detected woman at location [434, 110, 522, 335] | Detected Woman at location [231, 97, 363, 408]
Detected Umbrella at location [238, 98, 363, 264]
Detected woman at location [434, 110, 522, 335] | [
434,
110,
522,
335
] |
COCO_train2014_000000577320.jpg | refcoco_images/COCO_train2014_000000577320.jpg | white cat in middle of bed | [225.32,256.16,337.94,395.75] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Cat at location [4, 117, 479, 639]
Detected white cat at location [225, 256, 336, 394]
Select the coordinates for the target object based on this Caption:'white cat in middle of bed'
Caption: 'white cat in middle of 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|>
| ['Cat', 'Bed'] | Detected Cat at location [4, 117, 479, 639]
Detected white cat in middle of bed at location [225, 256, 336, 394]
| [
225,
256,
336,
394
] | Detected white cat at location [225, 256, 336, 394] | Detected Cat at location [4, 117, 479, 639]
Detected white cat at location [225, 256, 336, 394] | [
225,
256,
336,
394
] |
COCO_train2014_000000571405.jpg | refcoco_images/COCO_train2014_000000571405.jpg | middle guy | [271.01,127.82,475.69,355.15] | <|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 Guy at location [138, 90, 327, 359]
Detected Guy at location [271, 124, 477, 359]
Detected middle guy at location [271, 129, 475, 359]
Select the coordinates for the target object based on this Caption:'middle guy'
Caption: 'middle guy'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Guy'] | Detected Guy at location [138, 90, 327, 359]
Detected Guy at location [271, 124, 477, 359]
Detected middle guy at location [271, 129, 475, 359]
| [
271,
129,
475,
359
] | Detected middle guy at location [271, 129, 475, 359] | Detected Guy at location [138, 90, 327, 359]
Detected Guy at location [271, 124, 477, 359]
Detected middle guy at location [271, 129, 475, 359] | [
271,
129,
475,
359
] |
COCO_train2014_000000556568.jpg | refcoco_images/COCO_train2014_000000556568.jpg | right 193 | [249.94,,38.71,381.74,316.28] | <|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 193 at location [318, 49, 491, 422]
Select the coordinates for the target object based on this Caption:'right 193'
Caption: 'right 193'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> 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 193 at location [318, 49, 491, 422]
| [
318,
49,
491,
422
] | Detected 193 at location [318, 49, 491, 422] | Detected 193 at location [318, 49, 491, 422] | [
318,
49,
491,
422
] |
COCO_train2014_000000521225.jpg | refcoco_images/COCO_train2014_000000521225.jpg | zebra bottom left | [,18.54,265.45,291.57,370.79] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Zebra at location [20, 3, 639, 479]
Detected Zebra at location [122, 86, 598, 479]
Detected Zebra at location [270, 1, 639, 479]
Detected zebra at location [22, 338, 384, 479]
Select the coordinates for the target object based on this Caption:'zebra bottom left'
Caption: 'zebra bottom left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Zebra'] | Detected Zebra at location [20, 3, 639, 479]
Detected Zebra at location [122, 86, 598, 479]
Detected Zebra at location [270, 1, 639, 479]
Detected zebra bottom left at location [22, 338, 384, 479]
| [
22,
338,
384,
479
] | Detected zebra at location [22, 338, 384, 479] | Detected Zebra at location [20, 3, 639, 479]
Detected Zebra at location [122, 86, 598, 479]
Detected Zebra at location [270, 1, 639, 479]
Detected zebra at location [22, 338, 384, 479] | [
22,
338,
384,
479
] |
COCO_train2014_000000536619.jpg | refcoco_images/COCO_train2014_000000536619.jpg | plaid shirt | [288.,,,,,0.,,,422.83,220.04] | <|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 Plaid shirt at location [286, 1, 419, 213]
Detected plaid shirt at location [288, 0, 420, 218]
Select the coordinates for the target object based on this Caption:'plaid shirt'
Caption: 'plaid shirt'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Plaid shirt', 'Shirt'] | Detected Plaid shirt at location [286, 1, 419, 213]
Detected plaid shirt at location [288, 0, 420, 218]
| [
288,
0,
420,
218
] | Detected plaid shirt at location [288, 0, 420, 218] | Detected Plaid shirt at location [286, 1, 419, 213]
Detected plaid shirt at location [288, 0, 420, 218] | [
288,
0,
420,
218
] |
COCO_train2014_000000529470.jpg | refcoco_images/COCO_train2014_000000529470.jpg | Woman in black in middle of photo | [212.54,148.8,,372.45,361.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Woman at location [212, 147, 374, 360]
Detected Woman in black at location [213, 149, 372, 360]
Select the coordinates for the target object based on this Caption:'Woman in black in middle of photo'
Caption: 'Woman in black in middle of photo'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Woman', 'Black'] | Detected Woman at location [212, 147, 374, 360]
Detected Woman in black in middle of photo at location [213, 149, 372, 360]
| [
213,
149,
372,
360
] | Detected Woman in black at location [213, 149, 372, 360] | Detected Woman at location [212, 147, 374, 360]
Detected Woman in black at location [213, 149, 372, 360] | [
213,
149,
372,
360
] |
COCO_train2014_000000516471.jpg | refcoco_images/COCO_train2014_000000516471.jpg | directly to right of "NON FRIED" | [287.99,143.86,422.54,268.39] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected NON FRIED at location [125, 64, 639, 343]
Detected NON FRIED at location [365, 185, 540, 342]
Select the coordinates for the target object based on this Caption:'directly to right of "NON FRIED"'
Caption: 'directly to right of "NON FRIED"'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['NON FRIED'] | Detected NON FRIED at location [125, 64, 639, 343]
Detected directly to right of "NON FRIED" at location [365, 185, 540, 342]
| [
365,
185,
540,
342
] | Detected NON FRIED at location [365, 185, 540, 342] | Detected NON FRIED at location [125, 64, 639, 343]
Detected NON FRIED at location [365, 185, 540, 342] | [
365,
185,
540,
342
] |
COCO_train2014_000000528971.jpg | refcoco_images/COCO_train2014_000000528971.jpg | fries | [147.78,131.27,634.25,363.18] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Fries at location [279, 126, 626, 276]
Detected fries at location [279, 127, 626, 276]
Select the coordinates for the target object based on this Caption:'fries'
Caption: 'fries'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Fries'] | Detected Fries at location [279, 126, 626, 276]
Detected fries at location [279, 127, 626, 276]
| [
279,
127,
626,
276
] | Detected fries at location [279, 127, 626, 276] | Detected Fries at location [279, 126, 626, 276]
Detected fries at location [279, 127, 626, 276] | [
279,
127,
626,
276
] |
COCO_train2014_000000528432.jpg | refcoco_images/COCO_train2014_000000528432.jpg | middle one | [,46.32,,94.66,640.,,,375.63] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Middle at location [0, 34, 638, 427]
Detected middle one at location [45, 94, 638, 387]
Select the coordinates for the target object based on this Caption:'middle one'
Caption: 'middle one'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Middle'] | Detected Middle at location [0, 34, 638, 427]
Detected middle one at location [45, 94, 638, 387]
| [
45,
94,
638,
387
] | Detected middle one at location [45, 94, 638, 387] | Detected Middle at location [0, 34, 638, 427]
Detected middle one at location [45, 94, 638, 387] | [
45,
94,
638,
387
] |
COCO_train2014_000000544933.jpg | refcoco_images/COCO_train2014_000000544933.jpg | guy chocking girl | [150.25,,64.65,309.16,558.74] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Guy at location [147, 66, 308, 560]
Detected Girl at location [95, 97, 277, 619]
Detected guy at location [148, 67, 305, 556]
Select the coordinates for the target object based on this Caption:'guy chocking girl'
Caption: 'guy chocking 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|>
| ['Guy', 'Girl'] | Detected Guy at location [147, 66, 308, 560]
Detected Girl at location [95, 97, 277, 619]
Detected guy chocking girl at location [148, 67, 305, 556]
| [
148,
67,
305,
556
] | Detected guy at location [148, 67, 305, 556] | Detected Guy at location [147, 66, 308, 560]
Detected Girl at location [95, 97, 277, 619]
Detected guy at location [148, 67, 305, 556] | [
148,
67,
305,
556
] |
COCO_train2014_000000574384.jpg | refcoco_images/COCO_train2014_000000574384.jpg | partial big zebra on left background | [122.47,118.47,427.93,420.09] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Zebra at location [109, 111, 485, 424]
Detected big zebra at location [122, 120, 427, 426]
Select the coordinates for the target object based on this Caption:'partial big zebra on left background'
Caption: 'partial big zebra on left background'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Zebra'] | Detected Zebra at location [109, 111, 485, 424]
Detected partial big zebra on left background at location [122, 120, 427, 426]
| [
122,
120,
427,
426
] | Detected big zebra at location [122, 120, 427, 426] | Detected Zebra at location [109, 111, 485, 424]
Detected big zebra at location [122, 120, 427, 426] | [
122,
120,
427,
426
] |
COCO_train2014_000000553975.jpg | refcoco_images/COCO_train2014_000000553975.jpg | guy | [,84.,,,,16.86,224.59,198.38] | <|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 Guy at location [254, 10, 475, 229]
Detected Guy at location [81, 13, 206, 199]
Detected guy at location [83, 15, 220, 199]
Select the coordinates for the target object based on this Caption:'guy'
Caption: 'guy'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Guy'] | Detected Guy at location [254, 10, 475, 229]
Detected Guy at location [81, 13, 206, 199]
Detected guy at location [83, 15, 220, 199]
| [
83,
15,
220,
199
] | Detected guy at location [83, 15, 220, 199] | Detected Guy at location [254, 10, 475, 229]
Detected Guy at location [81, 13, 206, 199]
Detected guy at location [83, 15, 220, 199] | [
83,
15,
220,
199
] |
COCO_train2014_000000538993.jpg | refcoco_images/COCO_train2014_000000538993.jpg | person on far left | [,23.66,101.15,192.51,363.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the 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 [149, 128, 320, 464]
Detected person at location [32, 130, 245, 464]
Select the coordinates for the target object based on this Caption:'person on far left'
Caption: 'person on 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|>
| ['Person'] | Detected Person at location [149, 128, 320, 464]
Detected person on far left at location [32, 130, 245, 464]
| [
32,
130,
245,
464
] | Detected person at location [32, 130, 245, 464] | Detected Person at location [149, 128, 320, 464]
Detected person at location [32, 130, 245, 464] | [
32,
130,
245,
464
] |
COCO_train2014_000000576430.jpg | refcoco_images/COCO_train2014_000000576430.jpg | dark brown center pastry | [299.38,159.13,480.73,332.8,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Pastry at location [0, 0, 629, 419]
Detected dark brown pastry at location [299, 159, 480, 332]
Select the coordinates for the target object based on this Caption:'dark brown center pastry'
Caption: 'dark brown center pastry'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Pastry'] | Detected Pastry at location [0, 0, 629, 419]
Detected dark brown center pastry at location [299, 159, 480, 332]
| [
299,
159,
480,
332
] | Detected dark brown pastry at location [299, 159, 480, 332] | Detected Pastry at location [0, 0, 629, 419]
Detected dark brown pastry at location [299, 159, 480, 332] | [
299,
159,
480,
332
] |
COCO_train2014_000000562393.jpg | refcoco_images/COCO_train2014_000000562393.jpg | front zibra | [,62.86,,59.87,392.87,321.78] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Zibra at location [60, 12, 513, 411]
Detected Zibra at location [78, 74, 505, 410]
Detected zibra at location [81, 78, 503, 413]
Select the coordinates for the target object based on this Caption:'front zibra'
Caption: 'front zibra'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Zibra'] | Detected Zibra at location [60, 12, 513, 411]
Detected Zibra at location [78, 74, 505, 410]
Detected front zibra at location [81, 78, 503, 413]
| [
81,
78,
503,
413
] | Detected zibra at location [81, 78, 503, 413] | Detected Zibra at location [60, 12, 513, 411]
Detected Zibra at location [78, 74, 505, 410]
Detected zibra at location [81, 78, 503, 413] | [
81,
78,
503,
413
] |
COCO_train2014_000000527342.jpg | refcoco_images/COCO_train2014_000000527342.jpg | right chair | [326.48,381.98,426.84,639.38] | <|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 Chair at location [98, 389, 253, 639]
Detected chair at location [326, 382, 426, 639]
Select the coordinates for the target object based on this Caption:'right chair'
Caption: 'right chair'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Chair'] | Detected Chair at location [98, 389, 253, 639]
Detected right chair at location [326, 382, 426, 639]
| [
326,
382,
426,
639
] | Detected chair at location [326, 382, 426, 639] | Detected Chair at location [98, 389, 253, 639]
Detected chair at location [326, 382, 426, 639] | [
326,
382,
426,
639
] |
COCO_train2014_000000580562.jpg | refcoco_images/COCO_train2014_000000580562.jpg | gray dump truck | [,,0.,,,205.61,187.66,372.41] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Dump truck at location [84, 131, 598, 382]
Detected gray dump truck at location [0, 206, 184, 372]
Select the coordinates for the target object based on this Caption:'gray dump truck'
Caption: 'gray dump 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|>
| ['Dump truck'] | Detected Dump truck at location [84, 131, 598, 382]
Detected gray dump truck at location [0, 206, 184, 372]
| [
0,
206,
184,
372
] | Detected gray dump truck at location [0, 206, 184, 372] | Detected Dump truck at location [84, 131, 598, 382]
Detected gray dump truck at location [0, 206, 184, 372] | [
0,
206,
184,
372
] |
COCO_train2014_000000541823.jpg | refcoco_images/COCO_train2014_000000541823.jpg | guy on right | [354.7,,117.49,499.13,332.25] | <|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 Guy at location [2, 83, 171, 426]
Detected guy at location [455, 153, 639, 426]
Select the coordinates for the target object based on this Caption:'guy on right'
Caption: 'guy 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|>
| ['Guy'] | Detected Guy at location [2, 83, 171, 426]
Detected guy on right at location [455, 153, 639, 426]
| [
455,
153,
639,
426
] | Detected guy at location [455, 153, 639, 426] | Detected Guy at location [2, 83, 171, 426]
Detected guy at location [455, 153, 639, 426] | [
455,
153,
639,
426
] |
COCO_train2014_000000543642.jpg | refcoco_images/COCO_train2014_000000543642.jpg | guy on right in a hat | [358.84,,63.32,640.,,,424.08] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Guy at location [356, 62, 639, 424]
Detected hat at location [537, 63, 639, 154]
Detected guy at location [357, 64, 639, 425]
Select the coordinates for the target object based on this Caption:'guy on right in a hat'
Caption: 'guy on right in a hat'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Guy', 'Hat'] | Detected Guy at location [356, 62, 639, 424]
Detected hat at location [537, 63, 639, 154]
Detected guy on right in a hat at location [357, 64, 639, 425]
| [
357,
64,
639,
425
] | Detected guy at location [357, 64, 639, 425] | Detected Guy at location [356, 62, 639, 424]
Detected hat at location [537, 63, 639, 154]
Detected guy at location [357, 64, 639, 425] | [
357,
64,
639,
425
] |
COCO_train2014_000000553038.jpg | refcoco_images/COCO_train2014_000000553038.jpg | penguin leaning over the water | [132.22,123.1,,351.97,261.69] | <|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 Penguin at location [137, 122, 351, 263]
Detected Penguin at location [191, 273, 364, 410]
Detected penguin at location [133, 124, 350, 261]
Select the coordinates for the target object based on this Caption:'penguin leaning over the water'
Caption: 'penguin leaning over the water'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Penguin', 'Water'] | Detected Penguin at location [137, 122, 351, 263]
Detected Penguin at location [191, 273, 364, 410]
Detected penguin leaning over the water at location [133, 124, 350, 261]
| [
133,
124,
350,
261
] | Detected penguin at location [133, 124, 350, 261] | Detected Penguin at location [137, 122, 351, 263]
Detected Penguin at location [191, 273, 364, 410]
Detected penguin at location [133, 124, 350, 261] | [
133,
124,
350,
261
] |
COCO_train2014_000000577953.jpg | refcoco_images/COCO_train2014_000000577953.jpg | catcher | [474.,,,221.16,640.,,,437.04] | <|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 Catcher at location [468, 219, 638, 445]
Detected catcher at location [472, 221, 638, 442]
Select the coordinates for the target object based on this Caption:'catcher'
Caption: 'catcher'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Catcher'] | Detected Catcher at location [468, 219, 638, 445]
Detected catcher at location [472, 221, 638, 442]
| [
472,
221,
638,
442
] | Detected catcher at location [472, 221, 638, 442] | Detected Catcher at location [468, 219, 638, 445]
Detected catcher at location [472, 221, 638, 442] | [
472,
221,
638,
442
] |
COCO_train2014_000000527520.jpg | refcoco_images/COCO_train2014_000000527520.jpg | left zebra WHY SO MANY ZEBRAS | [,,0.,,,,43.13,427.96,411.34] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Zebra at location [0, 39, 521, 407]
Detected Zebra at location [0, 43, 429, 407]
Detected zebra at location [0, 42, 429, 411]
Select the coordinates for the target object based on this Caption:'left zebra WHY SO MANY ZEBRAS'
Caption: 'left zebra WHY SO MANY ZEBRAS'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Zebra'] | Detected Zebra at location [0, 39, 521, 407]
Detected Zebra at location [0, 43, 429, 407]
Detected left zebra WHY SO MANY ZEBRAS at location [0, 42, 429, 411]
| [
0,
42,
429,
411
] | Detected zebra at location [0, 42, 429, 411] | Detected Zebra at location [0, 39, 521, 407]
Detected Zebra at location [0, 43, 429, 407]
Detected zebra at location [0, 42, 429, 411] | [
0,
42,
429,
411
] |
COCO_train2014_000000527365.jpg | refcoco_images/COCO_train2014_000000527365.jpg | brocolii on left | [,,1.65,188.5,,258.33,427.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Broccoli at location [2, 195, 257, 423]
Detected Broccoli at location [384, 70, 639, 235]
Detected brocolii at location [0, 193, 258, 426]
Select the coordinates for the target object based on this Caption:'brocolii on left'
Caption: 'brocolii 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|>
| ['Broccoli'] | Detected Broccoli at location [2, 195, 257, 423]
Detected Broccoli at location [384, 70, 639, 235]
Detected brocolii on left at location [0, 193, 258, 426]
| [
0,
193,
258,
426
] | Detected brocolii at location [0, 193, 258, 426] | Detected Broccoli at location [2, 195, 257, 423]
Detected Broccoli at location [384, 70, 639, 235]
Detected brocolii at location [0, 193, 258, 426] | [
0,
193,
258,
426
] |
COCO_train2014_000000577140.jpg | refcoco_images/COCO_train2014_000000577140.jpg | second from front | [146.19,277.46,286.61,402.9,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected second at location [148, 275, 287, 402]
Select the coordinates for the target object based on this Caption:'second from front'
Caption: 'second 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|>
| [] | Detected second from front at location [148, 275, 287, 402]
| [
148,
275,
287,
402
] | Detected second at location [148, 275, 287, 402] | Detected second at location [148, 275, 287, 402] | [
148,
275,
287,
402
] |
COCO_train2014_000000569214.jpg | refcoco_images/COCO_train2014_000000569214.jpg | glass furthest away to the right | [386.6,,,51.48,524.89,244.28] | <|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 Glass at location [4, 51, 528, 422]
Detected glass at location [386, 56, 524, 246]
Select the coordinates for the target object based on this Caption:'glass furthest away to the right'
Caption: 'glass furthest away to the right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Glass'] | Detected Glass at location [4, 51, 528, 422]
Detected glass furthest away to the right at location [386, 56, 524, 246]
| [
386,
56,
524,
246
] | Detected glass at location [386, 56, 524, 246] | Detected Glass at location [4, 51, 528, 422]
Detected glass at location [386, 56, 524, 246] | [
386,
56,
524,
246
] |
COCO_train2014_000000529226.jpg | refcoco_images/COCO_train2014_000000529226.jpg | dark brown horse | [,,0.99,,56.01,230.97,451.82] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Horse at location [373, 102, 639, 456]
Detected Horse at location [2, 63, 235, 456]
Detected dark brown horse at location [0, 62, 234, 456]
Select the coordinates for the target object based on this Caption:'dark brown horse'
Caption: 'dark brown 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|>
| ['Horse'] | Detected Horse at location [373, 102, 639, 456]
Detected Horse at location [2, 63, 235, 456]
Detected dark brown horse at location [0, 62, 234, 456]
| [
0,
62,
234,
456
] | Detected dark brown horse at location [0, 62, 234, 456] | Detected Horse at location [373, 102, 639, 456]
Detected Horse at location [2, 63, 235, 456]
Detected dark brown horse at location [0, 62, 234, 456] | [
0,
62,
234,
456
] |
COCO_train2014_000000554319.jpg | refcoco_images/COCO_train2014_000000554319.jpg | man to right of center | [330.45,131.8,,481.35,420.22] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Man at location [139, 131, 393, 424]
Detected man at location [329, 132, 481, 424]
Select the coordinates for the target object based on this Caption:'man to right of center'
Caption: 'man to right of center'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Man'] | Detected Man at location [139, 131, 393, 424]
Detected man to right of center at location [329, 132, 481, 424]
| [
329,
132,
481,
424
] | Detected man at location [329, 132, 481, 424] | Detected Man at location [139, 131, 393, 424]
Detected man at location [329, 132, 481, 424] | [
329,
132,
481,
424
] |
COCO_train2014_000000561582.jpg | refcoco_images/COCO_train2014_000000561582.jpg | cat on right | [235.96,,46.35,499.72,314.33] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Cat at location [3, 63, 639, 480]
Detected cat at location [296, 60, 639, 403]
Select the coordinates for the target object based on this Caption:'cat on right'
Caption: 'cat 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|>
| ['Cat'] | Detected Cat at location [3, 63, 639, 480]
Detected cat on right at location [296, 60, 639, 403]
| [
296,
60,
639,
403
] | Detected cat at location [296, 60, 639, 403] | Detected Cat at location [3, 63, 639, 480]
Detected cat at location [296, 60, 639, 403] | [
296,
60,
639,
403
] |
COCO_train2014_000000564437.jpg | refcoco_images/COCO_train2014_000000564437.jpg | first sheep on the left | [,,1.38,,20.74,228.47,516.22] | <|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 Sheep at location [4, 14, 479, 514]
Detected sheep at location [0, 21, 228, 515]
Select the coordinates for the target object based on this Caption:'first sheep on the left'
Caption: 'first sheep 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|>
| ['Sheep'] | Detected Sheep at location [4, 14, 479, 514]
Detected first sheep on the left at location [0, 21, 228, 515]
| [
0,
21,
228,
515
] | Detected sheep at location [0, 21, 228, 515] | Detected Sheep at location [4, 14, 479, 514]
Detected sheep at location [0, 21, 228, 515] | [
0,
21,
228,
515
] |
COCO_train2014_000000572789.jpg | refcoco_images/COCO_train2014_000000572789.jpg | dude in the bright pink tie | [3.7944e+02,2.1000e-01,6.4000e+02,5.1100e+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 Dude at location [375, 0, 638, 509]
Detected dude at location [376, 0, 638, 509]
Select the coordinates for the target object based on this Caption:'dude in the bright pink tie'
Caption: 'dude in the bright pink tie'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> 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', 'Tie'] | Detected Dude at location [375, 0, 638, 509]
Detected dude in the bright pink tie at location [376, 0, 638, 509]
| [
376,
0,
638,
509
] | Detected dude at location [376, 0, 638, 509] | Detected Dude at location [375, 0, 638, 509]
Detected dude at location [376, 0, 638, 509] | [
376,
0,
638,
509
] |
COCO_train2014_000000557783.jpg | refcoco_images/COCO_train2014_000000557783.jpg | left glass | [,,1.08,,,0.,,,638.56,473.2,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Glass at location [4, 3, 639, 479]
Detected glass at location [0, 0, 639, 479]
Select the coordinates for the target object based on this Caption:'left glass'
Caption: 'left 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|>
| ['Glass'] | Detected Glass at location [4, 3, 639, 479]
Detected left glass at location [0, 0, 639, 479]
| [
0,
0,
639,
479
] | Detected glass at location [0, 0, 639, 479] | Detected Glass at location [4, 3, 639, 479]
Detected glass at location [0, 0, 639, 479] | [
0,
0,
639,
479
] |
COCO_train2014_000000517584.jpg | refcoco_images/COCO_train2014_000000517584.jpg | white shirted guy on right | [501.25,,38.36,630.4,,317.34] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected White shirt at location [222, 62, 314, 191]
Detected Shirt at location [223, 63, 314, 191]
Detected Guy at location [14, 19, 303, 305]
Detected white shirted guy at location [500, 33, 630, 323]
Select the coordinates for the target object based on this Caption:'white shirted guy on right'
Caption: 'white shirted guy 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|>
| ['White shirt', 'Shirt', 'Guy'] | Detected White shirt at location [222, 62, 314, 191]
Detected Shirt at location [223, 63, 314, 191]
Detected Guy at location [14, 19, 303, 305]
Detected white shirted guy on right at location [500, 33, 630, 323]
| [
500,
33,
630,
323
] | Detected white shirted guy at location [500, 33, 630, 323] | Detected White shirt at location [222, 62, 314, 191]
Detected Shirt at location [223, 63, 314, 191]
Detected Guy at location [14, 19, 303, 305]
Detected white shirted guy at location [500, 33, 630, 323] | [
500,
33,
630,
323
] |
COCO_train2014_000000539832.jpg | refcoco_images/COCO_train2014_000000539832.jpg | cow stuffed animal | [254.67,,93.92,500.,,,365.78] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Cow at location [11, 13, 638, 473]
Detected Cow at location [9, 12, 381, 448]
Detected Cow at location [328, 115, 638, 473]
Detected animal at location [9, 12, 382, 448]
Detected animal at location [328, 116, 638, 473]
Detected cow stuffed animal at location [326, 119, 638, 474]
Select the coordinates for the target object based on this Caption:'cow stuffed animal'
Caption: 'cow stuffed animal'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> 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', 'Stuffed animal'] | Detected Cow at location [11, 13, 638, 473]
Detected Cow at location [9, 12, 381, 448]
Detected Cow at location [328, 115, 638, 473]
Detected animal at location [9, 12, 382, 448]
Detected animal at location [328, 116, 638, 473]
Detected cow stuffed animal at location [326, 119, 638, 474]
| [
326,
119,
638,
474
] | Detected cow stuffed animal at location [326, 119, 638, 474] | Detected Cow at location [11, 13, 638, 473]
Detected Cow at location [9, 12, 381, 448]
Detected Cow at location [328, 115, 638, 473]
Detected animal at location [9, 12, 382, 448]
Detected animal at location [328, 116, 638, 473]
Detected cow stuffed animal at location [326, 119, 638, 474] | [
326,
119,
638,
474
] |
COCO_train2014_000000572372.jpg | refcoco_images/COCO_train2014_000000572372.jpg | RIGHT ZEBRA | [338.09,103.27,458.05,329.78] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Zebra at location [98, 119, 589, 435]
Detected Zebra at location [430, 134, 585, 424]
Detected Zebra at location [101, 123, 237, 436]
Detected RIGHT ZEBRA at location [429, 134, 587, 426]
Detected zebra at location [101, 124, 238, 438]
Select the coordinates for the target object based on this Caption:'RIGHT ZEBRA'
Caption: 'RIGHT ZEBRA'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Zebra'] | Detected Zebra at location [98, 119, 589, 435]
Detected Zebra at location [430, 134, 585, 424]
Detected Zebra at location [101, 123, 237, 436]
Detected RIGHT ZEBRA at location [429, 134, 587, 426]
Detected RIGHT ZEBRA at location [101, 124, 238, 438]
| [
101,
124,
238,
438
] | Detected zebra at location [101, 124, 238, 438] | Detected Zebra at location [98, 119, 589, 435]
Detected Zebra at location [430, 134, 585, 424]
Detected Zebra at location [101, 123, 237, 436]
Detected RIGHT ZEBRA at location [429, 134, 587, 426]
Detected zebra at location [101, 124, 238, 438] | [
101,
124,
238,
438
] |
COCO_train2014_000000543520.jpg | refcoco_images/COCO_train2014_000000543520.jpg | boy | [,,1.44,,11.53,341.62,520.36] | <|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 Boy at location [2, 2, 342, 522]
Detected boy at location [2, 2, 342, 522]
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 [2, 2, 342, 522]
Detected boy at location [2, 2, 342, 522]
| [
2,
2,
342,
522
] | Detected boy at location [2, 2, 342, 522] | Detected Boy at location [2, 2, 342, 522]
Detected boy at location [2, 2, 342, 522] | [
2,
2,
342,
522
] |
COCO_train2014_000000525303.jpg | refcoco_images/COCO_train2014_000000525303.jpg | boy on left red on shirt | [,,0.95,,,0.71,349.95,414.03] | <|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 Boy at location [91, 13, 368, 416]
Detected boy at location [0, 0, 347, 418]
Select the coordinates for the target object based on this Caption:'boy on left red on shirt'
Caption: 'boy on left red on 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|>
| ['Boy', 'Shirt'] | Detected Boy at location [91, 13, 368, 416]
Detected boy on left red on shirt at location [0, 0, 347, 418]
| [
0,
0,
347,
418
] | Detected boy at location [0, 0, 347, 418] | Detected Boy at location [91, 13, 368, 416]
Detected boy at location [0, 0, 347, 418] | [
0,
0,
347,
418
] |
COCO_train2014_000000541450.jpg | refcoco_images/COCO_train2014_000000541450.jpg | BROCOLLI IN MIDDLE OF CRAB | [151.34,131.8,,353.51,310.24] | <|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 Broccoli at location [152, 125, 352, 309]
Detected BROCOLLI at location [151, 132, 352, 309]
Select the coordinates for the target object based on this Caption:'BROCOLLI IN MIDDLE OF CRAB'
Caption: 'BROCOLLI IN MIDDLE OF CRAB'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Broccoli', 'Crab'] | Detected Broccoli at location [152, 125, 352, 309]
Detected BROCOLLI IN MIDDLE OF CRAB at location [151, 132, 352, 309]
| [
151,
132,
352,
309
] | Detected BROCOLLI at location [151, 132, 352, 309] | Detected Broccoli at location [152, 125, 352, 309]
Detected BROCOLLI at location [151, 132, 352, 309] | [
151,
132,
352,
309
] |
COCO_train2014_000000578326.jpg | refcoco_images/COCO_train2014_000000578326.jpg | girl | [111.6,,,,5.15,488.67,474.31] | <|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 Girl at location [109, 11, 485, 479]
Detected girl at location [111, 6, 488, 479]
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 [109, 11, 485, 479]
Detected girl at location [111, 6, 488, 479]
| [
111,
6,
488,
479
] | Detected girl at location [111, 6, 488, 479] | Detected Girl at location [109, 11, 485, 479]
Detected girl at location [111, 6, 488, 479] | [
111,
6,
488,
479
] |
COCO_train2014_000000576810.jpg | refcoco_images/COCO_train2014_000000576810.jpg | lady in front | [458.38,183.54,640.,,,425.1,] | <|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 Lady at location [0, 29, 451, 426]
Detected lady at location [457, 183, 639, 426]
Select the coordinates for the target object based on this Caption:'lady in front'
Caption: 'lady in front'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Lady'] | Detected Lady at location [0, 29, 451, 426]
Detected lady in front at location [457, 183, 639, 426]
| [
457,
183,
639,
426
] | Detected lady at location [457, 183, 639, 426] | Detected Lady at location [0, 29, 451, 426]
Detected lady at location [457, 183, 639, 426] | [
457,
183,
639,
426
] |
COCO_train2014_000000520976.jpg | refcoco_images/COCO_train2014_000000520976.jpg | small canoe, bottom left side | [,49.67,266.49,311.38,347.68] | <|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 Canoe at location [244, 162, 537, 337]
Detected small canoe at location [51, 267, 310, 347]
Select the coordinates for the target object based on this Caption:'small canoe, bottom left side'
Caption: 'small canoe, bottom left side'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Canoe'] | Detected Canoe at location [244, 162, 537, 337]
Detected small canoe, bottom left side at location [51, 267, 310, 347]
| [
51,
267,
310,
347
] | Detected small canoe at location [51, 267, 310, 347] | Detected Canoe at location [244, 162, 537, 337]
Detected small canoe at location [51, 267, 310, 347] | [
51,
267,
310,
347
] |
COCO_train2014_000000554524.jpg | refcoco_images/COCO_train2014_000000554524.jpg | right full pizza | [284.85,,58.93,482.32,153.91] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Pizza at location [100, 50, 481, 155]
Detected pizza at location [285, 59, 481, 153]
Select the coordinates for the target object based on this Caption:'right full pizza'
Caption: 'right full pizza'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Pizza'] | Detected Pizza at location [100, 50, 481, 155]
Detected right full pizza at location [285, 59, 481, 153]
| [
285,
59,
481,
153
] | Detected pizza at location [285, 59, 481, 153] | Detected Pizza at location [100, 50, 481, 155]
Detected pizza at location [285, 59, 481, 153] | [
285,
59,
481,
153
] |
COCO_train2014_000000557105.jpg | refcoco_images/COCO_train2014_000000557105.jpg | bottom right corner broccoli | [305.69,400.56,426.,,,630.96] | <|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 Broccoli at location [0, 0, 425, 639]
Detected Broccoli at location [0, 364, 214, 639]
Detected Broccoli at location [0, 364, 213, 551]
Detected broccoli at location [305, 405, 425, 639]
Select the coordinates for the target object based on this Caption:'bottom right corner broccoli'
Caption: 'bottom right corner broccoli'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Broccoli'] | Detected Broccoli at location [0, 0, 425, 639]
Detected Broccoli at location [0, 364, 214, 639]
Detected Broccoli at location [0, 364, 213, 551]
Detected bottom right corner broccoli at location [305, 405, 425, 639]
| [
305,
405,
425,
639
] | Detected broccoli at location [305, 405, 425, 639] | Detected Broccoli at location [0, 0, 425, 639]
Detected Broccoli at location [0, 364, 214, 639]
Detected Broccoli at location [0, 364, 213, 551]
Detected broccoli at location [305, 405, 425, 639] | [
305,
405,
425,
639
] |
COCO_train2014_000000527112.jpg | refcoco_images/COCO_train2014_000000527112.jpg | man on bike | [,28.08,,21.68,359.63,479.58] | <|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 Man at location [30, 13, 364, 479]
Detected Bike at location [2, 268, 478, 479]
Detected man at location [30, 14, 359, 479]
Select the coordinates for the target object based on this Caption:'man on bike'
Caption: 'man on 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|>
| ['Man', 'Bike'] | Detected Man at location [30, 13, 364, 479]
Detected Bike at location [2, 268, 478, 479]
Detected man on bike at location [30, 14, 359, 479]
| [
30,
14,
359,
479
] | Detected man at location [30, 14, 359, 479] | Detected Man at location [30, 13, 364, 479]
Detected Bike at location [2, 268, 478, 479]
Detected man at location [30, 14, 359, 479] | [
30,
14,
359,
479
] |
COCO_train2014_000000566166.jpg | refcoco_images/COCO_train2014_000000566166.jpg | biggest elephant | [220.59,,,3.82,640.,,,384.85] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the 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 [219, 0, 639, 386]
Detected Elephant at location [180, 130, 377, 370]
Detected biggest elephant at location [221, 0, 639, 384]
Select the coordinates for the target object based on this Caption:'biggest elephant'
Caption: 'biggest 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 [219, 0, 639, 386]
Detected Elephant at location [180, 130, 377, 370]
Detected biggest elephant at location [221, 0, 639, 384]
| [
221,
0,
639,
384
] | Detected biggest elephant at location [221, 0, 639, 384] | Detected Elephant at location [219, 0, 639, 386]
Detected Elephant at location [180, 130, 377, 370]
Detected biggest elephant at location [221, 0, 639, 384] | [
221,
0,
639,
384
] |
COCO_train2014_000000529308.jpg | refcoco_images/COCO_train2014_000000529308.jpg | boy | [103.87,,,0.51,460.18,368.98] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Boy at location [103, 0, 458, 366]
Detected boy at location [103, 0, 459, 366]
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 [103, 0, 458, 366]
Detected boy at location [103, 0, 459, 366]
| [
103,
0,
459,
366
] | Detected boy at location [103, 0, 459, 366] | Detected Boy at location [103, 0, 458, 366]
Detected boy at location [103, 0, 459, 366] | [
103,
0,
459,
366
] |
COCO_train2014_000000563477.jpg | refcoco_images/COCO_train2014_000000563477.jpg | bottom left arms up | [,,0.,,,101.36,314.43,426.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Arms at location [46, 146, 314, 354]
Detected arms at location [0, 102, 313, 425]
Select the coordinates for the target object based on this Caption:'bottom left arms up'
Caption: 'bottom left arms up'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Arms'] | Detected Arms at location [46, 146, 314, 354]
Detected bottom left arms up at location [0, 102, 313, 425]
| [
0,
102,
313,
425
] | Detected arms at location [0, 102, 313, 425] | Detected Arms at location [46, 146, 314, 354]
Detected arms at location [0, 102, 313, 425] | [
0,
102,
313,
425
] |
COCO_train2014_000000560004.jpg | refcoco_images/COCO_train2014_000000560004.jpg | big jar near leg | [139.27,330.14,291.81,610.35] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Jar at location [3, 254, 425, 639]
Detected big jar at location [139, 329, 291, 612]
Select the coordinates for the target object based on this Caption:'big jar near leg'
Caption: 'big jar near leg'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Jar', 'Leg'] | Detected Jar at location [3, 254, 425, 639]
Detected big jar near leg at location [139, 329, 291, 612]
| [
139,
329,
291,
612
] | Detected big jar at location [139, 329, 291, 612] | Detected Jar at location [3, 254, 425, 639]
Detected big jar at location [139, 329, 291, 612] | [
139,
329,
291,
612
] |
COCO_train2014_000000580919.jpg | refcoco_images/COCO_train2014_000000580919.jpg | person with backpack--dont click the bag, click the person | [291.14,219.99,403.47,589.81] | <|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 Backpack at location [270, 268, 368, 390]
Detected Person at location [276, 221, 402, 588]
Detected person at location [223, 245, 307, 528]
Select the coordinates for the target object based on this Caption:'person with backpack--dont click the bag, click the person'
Caption: 'person with backpack--dont click the bag, click the 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|>
| ['Backpack', 'Person'] | Detected Backpack at location [270, 268, 368, 390]
Detected Person at location [276, 221, 402, 588]
Detected person with backpack--dont click the bag, click the person at location [223, 245, 307, 528]
| [
223,
245,
307,
528
] | Detected person at location [223, 245, 307, 528] | Detected Backpack at location [270, 268, 368, 390]
Detected Person at location [276, 221, 402, 588]
Detected person at location [223, 245, 307, 528] | [
223,
245,
307,
528
] |
COCO_train2014_000000580026.jpg | refcoco_images/COCO_train2014_000000580026.jpg | little girl at table | [342.05,131.64,478.,,,283.78] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Girl at location [311, 191, 548, 416]
Detected table at location [21, 253, 453, 417]
Detected little girl at location [345, 139, 476, 289]
Select the coordinates for the target object based on this Caption:'little girl at table'
Caption: 'little girl at table'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> 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', 'Table'] | Detected Girl at location [311, 191, 548, 416]
Detected table at location [21, 253, 453, 417]
Detected little girl at table at location [345, 139, 476, 289]
| [
345,
139,
476,
289
] | Detected little girl at location [345, 139, 476, 289] | Detected Girl at location [311, 191, 548, 416]
Detected table at location [21, 253, 453, 417]
Detected little girl at location [345, 139, 476, 289] | [
345,
139,
476,
289
] |
COCO_train2014_000000548351.jpg | refcoco_images/COCO_train2014_000000548351.jpg | kid bottom center holding controllr | [211.59,227.02,564.87,420.41] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Kid at location [214, 7, 639, 423]
Detected controllerboard at location [214, 7, 638, 423]
Detected kid at location [205, 227, 565, 420]
Select the coordinates for the target object based on this Caption:'kid bottom center holding controllr'
Caption: 'kid bottom center holding controllr'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> 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', 'Controller'] | Detected Kid at location [214, 7, 639, 423]
Detected controllerboard at location [214, 7, 638, 423]
Detected kid bottom center holding controllr at location [205, 227, 565, 420]
| [
205,
227,
565,
420
] | Detected kid at location [205, 227, 565, 420] | Detected Kid at location [214, 7, 639, 423]
Detected controllerboard at location [214, 7, 638, 423]
Detected kid at location [205, 227, 565, 420] | [
205,
227,
565,
420
] |
COCO_train2014_000000565500.jpg | refcoco_images/COCO_train2014_000000565500.jpg | car on the left with the door open | [,,1.16,196.38,306.29,458.31] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Car at location [2, 195, 306, 459]
Detected car at location [0, 198, 304, 458]
Select the coordinates for the target object based on this Caption:'car on the left with the door open'
Caption: 'car on the left with the door open'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> 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', 'Door'] | Detected Car at location [2, 195, 306, 459]
Detected car on the left with the door open at location [0, 198, 304, 458]
| [
0,
198,
304,
458
] | Detected car at location [0, 198, 304, 458] | Detected Car at location [2, 195, 306, 459]
Detected car at location [0, 198, 304, 458] | [
0,
198,
304,
458
] |
COCO_train2014_000000519209.jpg | refcoco_images/COCO_train2014_000000519209.jpg | second fridge from right | [240.67,,,0.,,,414.8,,327.18] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Fridge at location [0, 0, 601, 398]
Detected fridge at location [240, 0, 413, 328]
Select the coordinates for the target object based on this Caption:'second fridge from right'
Caption: 'second fridge 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|>
| ['Fridge'] | Detected Fridge at location [0, 0, 601, 398]
Detected second fridge from right at location [240, 0, 413, 328]
| [
240,
0,
413,
328
] | Detected fridge at location [240, 0, 413, 328] | Detected Fridge at location [0, 0, 601, 398]
Detected fridge at location [240, 0, 413, 328] | [
240,
0,
413,
328
] |
COCO_train2014_000000562740.jpg | refcoco_images/COCO_train2014_000000562740.jpg | pizza bottom left | [152.09,238.38,325.75,372.13] | <|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 Pizza at location [153, 114, 476, 375]
Detected pizza at location [152, 240, 326, 369]
Select the coordinates for the target object based on this Caption:'pizza bottom left'
Caption: 'pizza bottom left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Pizza'] | Detected Pizza at location [153, 114, 476, 375]
Detected pizza bottom left at location [152, 240, 326, 369]
| [
152,
240,
326,
369
] | Detected pizza at location [152, 240, 326, 369] | Detected Pizza at location [153, 114, 476, 375]
Detected pizza at location [152, 240, 326, 369] | [
152,
240,
326,
369
] |
COCO_train2014_000000523937.jpg | refcoco_images/COCO_train2014_000000523937.jpg | right edge person | [529.62,,17.26,638.56,473.53] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Edge at location [219, 77, 372, 479]
Detected Edge at location [44, 96, 167, 439]
Detected Person at location [220, 78, 371, 479]
Detected Person at location [45, 97, 167, 438]
Detected person at location [533, 18, 639, 479]
Select the coordinates for the target object based on this Caption:'right edge person'
Caption: 'right edge 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|>
| ['Edge', 'Person'] | Detected Edge at location [219, 77, 372, 479]
Detected Edge at location [44, 96, 167, 439]
Detected Person at location [220, 78, 371, 479]
Detected Person at location [45, 97, 167, 438]
Detected right edge person at location [533, 18, 639, 479]
| [
533,
18,
639,
479
] | Detected person at location [533, 18, 639, 479] | Detected Edge at location [219, 77, 372, 479]
Detected Edge at location [44, 96, 167, 439]
Detected Person at location [220, 78, 371, 479]
Detected Person at location [45, 97, 167, 438]
Detected person at location [533, 18, 639, 479] | [
533,
18,
639,
479
] |
COCO_train2014_000000560885.jpg | refcoco_images/COCO_train2014_000000560885.jpg | left zebra without stripes | [,,0.,,,122.18,216.1,,390.26] | <|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 Zebra at location [400, 88, 609, 380]
Detected zebra at location [0, 123, 215, 390]
Select the coordinates for the target object based on this Caption:'left zebra without stripes'
Caption: 'left zebra without stripes'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Zebra'] | Detected Zebra at location [400, 88, 609, 380]
Detected left zebra without stripes at location [0, 123, 215, 390]
| [
0,
123,
215,
390
] | Detected zebra at location [0, 123, 215, 390] | Detected Zebra at location [400, 88, 609, 380]
Detected zebra at location [0, 123, 215, 390] | [
0,
123,
215,
390
] |
COCO_train2014_000000518659.jpg | refcoco_images/COCO_train2014_000000518659.jpg | middle urinal | [404.83,168.44,501.22,332.3,] | <|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 Urinal at location [517, 180, 639, 423]
Detected middle urinal at location [405, 168, 500, 332]
Select the coordinates for the target object based on this Caption:'middle urinal'
Caption: 'middle urinal'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Urinal'] | Detected Urinal at location [517, 180, 639, 423]
Detected middle urinal at location [405, 168, 500, 332]
| [
405,
168,
500,
332
] | Detected middle urinal at location [405, 168, 500, 332] | Detected Urinal at location [517, 180, 639, 423]
Detected middle urinal at location [405, 168, 500, 332] | [
405,
168,
500,
332
] |
COCO_train2014_000000543552.jpg | refcoco_images/COCO_train2014_000000543552.jpg | front of horse | [101.78,,94.66,272.1,,338.71] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Horse at location [110, 99, 506, 338]
Detected horse at location [107, 94, 513, 338]
Select the coordinates for the target object based on this Caption:'front of horse'
Caption: 'front of 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|>
| ['Horse'] | Detected Horse at location [110, 99, 506, 338]
Detected front of horse at location [107, 94, 513, 338]
| [
107,
94,
513,
338
] | Detected horse at location [107, 94, 513, 338] | Detected Horse at location [110, 99, 506, 338]
Detected horse at location [107, 94, 513, 338] | [
107,
94,
513,
338
] |
COCO_train2014_000000539430.jpg | refcoco_images/COCO_train2014_000000539430.jpg | red silver jacket left | [124.16,,68.76,253.09,341.91] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Jacket at location [210, 170, 377, 320]
Detected Jacket at location [126, 89, 254, 215]
Detected red silver jacket at location [126, 66, 253, 338]
Select the coordinates for the target object based on this Caption:'red silver jacket left'
Caption: 'red silver jacket 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|>
| ['Jacket'] | Detected Jacket at location [210, 170, 377, 320]
Detected Jacket at location [126, 89, 254, 215]
Detected red silver jacket left at location [126, 66, 253, 338]
| [
126,
66,
253,
338
] | Detected red silver jacket at location [126, 66, 253, 338] | Detected Jacket at location [210, 170, 377, 320]
Detected Jacket at location [126, 89, 254, 215]
Detected red silver jacket at location [126, 66, 253, 338] | [
126,
66,
253,
338
] |
COCO_train2014_000000562428.jpg | refcoco_images/COCO_train2014_000000562428.jpg | left kid | [,38.38,,40.97,220.7,,396.96] | <|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 Kid at location [38, 38, 220, 398]
Detected Kid at location [393, 38, 555, 396]
Detected kid at location [39, 41, 218, 396]
Select the coordinates for the target object based on this Caption:'left kid'
Caption: 'left kid'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Kid'] | Detected Kid at location [38, 38, 220, 398]
Detected Kid at location [393, 38, 555, 396]
Detected left kid at location [39, 41, 218, 396]
| [
39,
41,
218,
396
] | Detected kid at location [39, 41, 218, 396] | Detected Kid at location [38, 38, 220, 398]
Detected Kid at location [393, 38, 555, 396]
Detected kid at location [39, 41, 218, 396] | [
39,
41,
218,
396
] |
COCO_train2014_000000523735.jpg | refcoco_images/COCO_train2014_000000523735.jpg | the left zebera | [,38.3,,,16.28,291.05,421.26] | <|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 Zebra at location [34, 16, 639, 416]
Detected Zebra at location [224, 78, 639, 389]
Detected Zebra at location [37, 17, 292, 421]
Detected zebera at location [39, 17, 291, 421]
Select the coordinates for the target object based on this Caption:'the left zebera'
Caption: 'the left zebera'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Zebra'] | Detected Zebra at location [34, 16, 639, 416]
Detected Zebra at location [224, 78, 639, 389]
Detected Zebra at location [37, 17, 292, 421]
Detected the left zebera at location [39, 17, 291, 421]
| [
39,
17,
291,
421
] | Detected zebera at location [39, 17, 291, 421] | Detected Zebra at location [34, 16, 639, 416]
Detected Zebra at location [224, 78, 639, 389]
Detected Zebra at location [37, 17, 292, 421]
Detected zebera at location [39, 17, 291, 421] | [
39,
17,
291,
421
] |
COCO_train2014_000000571885.jpg | refcoco_images/COCO_train2014_000000571885.jpg | chili | [,52.06,,,6.59,431.89,424.98] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Chili at location [73, 57, 411, 400]
Detected chili at location [53, 8, 428, 427]
Select the coordinates for the target object based on this Caption:'chili'
Caption: 'chili'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Chili'] | Detected Chili at location [73, 57, 411, 400]
Detected chili at location [53, 8, 428, 427]
| [
53,
8,
428,
427
] | Detected chili at location [53, 8, 428, 427] | Detected Chili at location [73, 57, 411, 400]
Detected chili at location [53, 8, 428, 427] | [
53,
8,
428,
427
] |
COCO_train2014_000000536001.jpg | refcoco_images/COCO_train2014_000000536001.jpg | girl | [,,0.64,,19.71,243.57,279.82] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Girl at location [0, 17, 246, 283]
Detected girl at location [0, 20, 244, 283]
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 [0, 17, 246, 283]
Detected girl at location [0, 20, 244, 283]
| [
0,
20,
244,
283
] | Detected girl at location [0, 20, 244, 283] | Detected Girl at location [0, 17, 246, 283]
Detected girl at location [0, 20, 244, 283] | [
0,
20,
244,
283
] |
COCO_train2014_000000544209.jpg | refcoco_images/COCO_train2014_000000544209.jpg | front left cow | [,43.35,,94.97,246.71,352.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the 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 [15, 88, 639, 342]
Detected Cow at location [41, 93, 247, 345]
Detected cow at location [41, 95, 247, 345]
Select the coordinates for the target object based on this Caption:'front left cow'
Caption: 'front 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 [15, 88, 639, 342]
Detected Cow at location [41, 93, 247, 345]
Detected front left cow at location [41, 95, 247, 345]
| [
41,
95,
247,
345
] | Detected cow at location [41, 95, 247, 345] | Detected Cow at location [15, 88, 639, 342]
Detected Cow at location [41, 93, 247, 345]
Detected cow at location [41, 95, 247, 345] | [
41,
95,
247,
345
] |
COCO_train2014_000000540495.jpg | refcoco_images/COCO_train2014_000000540495.jpg | motorcycle in bottom left corner | [,,2.1,,279.86,289.22,420.79] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Motorcycle at location [293, 154, 546, 417]
Detected motorcycle at location [0, 279, 288, 420]
Select the coordinates for the target object based on this Caption:'motorcycle in bottom left corner'
Caption: 'motorcycle in bottom left corner'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Motorcycle'] | Detected Motorcycle at location [293, 154, 546, 417]
Detected motorcycle in bottom left corner at location [0, 279, 288, 420]
| [
0,
279,
288,
420
] | Detected motorcycle at location [0, 279, 288, 420] | Detected Motorcycle at location [293, 154, 546, 417]
Detected motorcycle at location [0, 279, 288, 420] | [
0,
279,
288,
420
] |
COCO_train2014_000000526877.jpg | refcoco_images/COCO_train2014_000000526877.jpg | yellow bike, bottom | [,,0.,,,299.38,614.11,427.,,] | <|im_start|>system
You are a coordinate selection system. Your task is to:
1. Parse the given bounding box coordinates
2. For left/right selection:
- Compare the starting x-coordinates (first number in each box)
- Left means smaller x-coordinate
- Right means larger x-coordinate
3. For top/bottom selection:
- Compare the starting y-coordinates (second number in each box)
- Top means smaller y-coordinate
- Bottom means larger y-coordinate
4. For closest selection:
- Compare the distance from the center of the boxe to target
- Closest means the boxes with the smallest distance between them
5. For size selection:
- Compare the area of the boxes
- Larger means the box with the largest area
- Smaller means the box with the smallest area
6.You first thinks about the reasoning process in the mind and then provides the user with the answer
NOTE: You should also consider the size of the box when selecting the coordinates, for example if the target is a desktop you can intelligently say that the box can't be very small, or if the object is large it's bounding box will be large so also consider size of bounding box when selecting the coordinates and also relation between the target and reference
Remember: In image coordinates:
- X increases from left to right
- Y increases from top to bottom
- Each box format is [x1, y1, x2, y2] where (x1,y1) is top-left and (x2,y2) is bottom-right
Always Show your work in <think> </think> tags and then return the final coordinates in <answer> </answer> tags, for example <answer> [375, 216, 507, 404] </answer>.
<|im_end|>
<|im_start|>user
Given these bounding boxes: Detected Bike at location [8, 180, 615, 424]
Detected yellow bike at location [1, 303, 616, 426]
Select the coordinates for the target object based on this Caption:'yellow bike, bottom'
Caption: 'yellow bike, bottom'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Bike'] | Detected Bike at location [8, 180, 615, 424]
Detected yellow bike, bottom at location [1, 303, 616, 426]
| [
1,
303,
616,
426
] | Detected yellow bike at location [1, 303, 616, 426] | Detected Bike at location [8, 180, 615, 424]
Detected yellow bike at location [1, 303, 616, 426] | [
1,
303,
616,
426
] |
COCO_train2014_000000550972.jpg | refcoco_images/COCO_train2014_000000550972.jpg | right elephant | [362.52,,82.43,578.43,273.17] | <|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 Elephant at location [105, 63, 583, 274]
Detected Elephant at location [107, 65, 398, 250]
Detected Elephant at location [361, 81, 580, 273]
Detected elephant at location [362, 83, 578, 271]
Select the coordinates for the target object based on this Caption:'right elephant'
Caption: 'right 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 [105, 63, 583, 274]
Detected Elephant at location [107, 65, 398, 250]
Detected Elephant at location [361, 81, 580, 273]
Detected right elephant at location [362, 83, 578, 271]
| [
362,
83,
578,
271
] | Detected elephant at location [362, 83, 578, 271] | Detected Elephant at location [105, 63, 583, 274]
Detected Elephant at location [107, 65, 398, 250]
Detected Elephant at location [361, 81, 580, 273]
Detected elephant at location [362, 83, 578, 271] | [
362,
83,
578,
271
] |
COCO_train2014_000000516432.jpg | refcoco_images/COCO_train2014_000000516432.jpg | front 2nd from left | [139.19,328.28,310.18,559.99] | <|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 2nd at location [135, 324, 315, 561]
Select the coordinates for the target object based on this Caption:'front 2nd from left'
Caption: 'front 2nd from left'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| [] | Detected front 2nd from left at location [135, 324, 315, 561]
| [
135,
324,
315,
561
] | Detected 2nd at location [135, 324, 315, 561] | Detected 2nd at location [135, 324, 315, 561] | [
135,
324,
315,
561
] |
COCO_train2014_000000577948.jpg | refcoco_images/COCO_train2014_000000577948.jpg | broccoli in focus, right | [363.29,205.41,640.,,,298.21] | <|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 Broccoli at location [320, 198, 639, 366]
Detected broccoli at location [363, 206, 585, 310]
Select the coordinates for the target object based on this Caption:'broccoli in focus, right'
Caption: 'broccoli in focus, right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Broccoli'] | Detected Broccoli at location [320, 198, 639, 366]
Detected broccoli in focus, right at location [363, 206, 585, 310]
| [
363,
206,
585,
310
] | Detected broccoli at location [363, 206, 585, 310] | Detected Broccoli at location [320, 198, 639, 366]
Detected broccoli at location [363, 206, 585, 310] | [
363,
206,
585,
310
] |
COCO_train2014_000000528707.jpg | refcoco_images/COCO_train2014_000000528707.jpg | elephant on right | [404.9,,217.32,607.35,475.28] | <|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 Elephant at location [2, 229, 411, 479]
Detected elephant at location [404, 217, 606, 479]
Select the coordinates for the target object based on this Caption:'elephant on right'
Caption: 'elephant on right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Elephant'] | Detected Elephant at location [2, 229, 411, 479]
Detected elephant on right at location [404, 217, 606, 479]
| [
404,
217,
606,
479
] | Detected elephant at location [404, 217, 606, 479] | Detected Elephant at location [2, 229, 411, 479]
Detected elephant at location [404, 217, 606, 479] | [
404,
217,
606,
479
] |
COCO_train2014_000000565771.jpg | refcoco_images/COCO_train2014_000000565771.jpg | hand holding silver cell phone on the right | [310.19,170.2,,500.,,,264.99] | <|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 Hand at location [366, 128, 478, 322]
Detected Hand at location [253, 150, 325, 317]
Detected silver cell phone at location [397, 218, 639, 339]
Select the coordinates for the target object based on this Caption:'hand holding silver cell phone on the right'
Caption: 'hand holding silver cell phone on the right'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Hand', 'Cell phone'] | Detected Hand at location [366, 128, 478, 322]
Detected Hand at location [253, 150, 325, 317]
Detected hand holding silver cell phone on the right at location [397, 218, 639, 339]
| [
397,
218,
639,
339
] | Detected silver cell phone at location [397, 218, 639, 339] | Detected Hand at location [366, 128, 478, 322]
Detected Hand at location [253, 150, 325, 317]
Detected silver cell phone at location [397, 218, 639, 339] | [
397,
218,
639,
339
] |
COCO_train2014_000000550960.jpg | refcoco_images/COCO_train2014_000000550960.jpg | Right hot dog | [293.65,178.52,454.02,433.77] | <|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 Hot dog at location [139, 171, 464, 444]
Detected Hot dog at location [293, 174, 461, 437]
Detected Hot dog at location [140, 193, 308, 443]
Detected Right hot dog at location [293, 174, 462, 438]
Detected hot dog at location [140, 193, 308, 444]
Select the coordinates for the target object based on this Caption:'Right hot dog'
Caption: 'Right hot dog'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Hot dog'] | Detected Hot dog at location [139, 171, 464, 444]
Detected Hot dog at location [293, 174, 461, 437]
Detected Hot dog at location [140, 193, 308, 443]
Detected Right hot dog at location [293, 174, 462, 438]
Detected Right hot dog at location [140, 193, 308, 444]
| [
140,
193,
308,
444
] | Detected hot dog at location [140, 193, 308, 444] | Detected Hot dog at location [139, 171, 464, 444]
Detected Hot dog at location [293, 174, 461, 437]
Detected Hot dog at location [140, 193, 308, 443]
Detected Right hot dog at location [293, 174, 462, 438]
Detected hot dog at location [140, 193, 308, 444] | [
140,
193,
308,
444
] |
COCO_train2014_000000555080.jpg | refcoco_images/COCO_train2014_000000555080.jpg | fireplace doors | [526.29,247.03,640.,,,418.66] | <|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 Fireplace at location [501, 116, 639, 439]
Detected fireplace doors at location [526, 247, 639, 439]
Select the coordinates for the target object based on this Caption:'fireplace doors'
Caption: 'fireplace doors'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Fireplace', 'Doors'] | Detected Fireplace at location [501, 116, 639, 439]
Detected fireplace doors at location [526, 247, 639, 439]
| [
526,
247,
639,
439
] | Detected fireplace doors at location [526, 247, 639, 439] | Detected Fireplace at location [501, 116, 639, 439]
Detected fireplace doors at location [526, 247, 639, 439] | [
526,
247,
639,
439
] |
COCO_train2014_000000554635.jpg | refcoco_images/COCO_train2014_000000554635.jpg | Bride. | [,70.16,146.18,342.19,491.23] | <|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 Bride at location [70, 147, 342, 491]
Detected Bride at location [70, 146, 341, 491]
Select the coordinates for the target object based on this Caption:'Bride.'
Caption: 'Bride.'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Bride'] | Detected Bride at location [70, 147, 342, 491]
Detected Bride. at location [70, 146, 341, 491]
| [
70,
146,
341,
491
] | Detected Bride at location [70, 146, 341, 491] | Detected Bride at location [70, 147, 342, 491]
Detected Bride at location [70, 146, 341, 491] | [
70,
146,
341,
491
] |
COCO_train2014_000000524320.jpg | refcoco_images/COCO_train2014_000000524320.jpg | man | [,,1.32,,98.29,308.35,580.01] | <|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 Man at location [50, 98, 309, 581]
Detected man at location [2, 99, 307, 579]
Select the coordinates for the target object based on this Caption:'man'
Caption: 'man'
. Show your work in <think> </think> tags. And return the final coordinates in <answer> </answer> tags, for example <answer> [x1, y1, x2, y2] </answer><|im_end|>
<|im_start|>assistant
Let me solve this step by step.
<think><|im_end|>
| ['Man'] | Detected Man at location [50, 98, 309, 581]
Detected man at location [2, 99, 307, 579]
| [
2,
99,
307,
579
] | Detected man at location [2, 99, 307, 579] | Detected Man at location [50, 98, 309, 581]
Detected man at location [2, 99, 307, 579] | [
2,
99,
307,
579
] |
COCO_train2014_000000524935.jpg | refcoco_images/COCO_train2014_000000524935.jpg | sprinkled donut far right | [448.48,158.27,640.,,,357.45] | <|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 Sprinkled donut at location [208, 251, 505, 472]
Detected donut at location [2, 12, 639, 472]
Detected sprinkled donut at location [445, 161, 639, 353]
Select the coordinates for the target object based on this Caption:'sprinkled donut far right'
Caption: 'sprinkled donut 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|>
| ['Sprinkled donut'] | Detected Sprinkled donut at location [208, 251, 505, 472]
Detected donut at location [2, 12, 639, 472]
Detected sprinkled donut far right at location [445, 161, 639, 353]
| [
445,
161,
639,
353
] | Detected sprinkled donut at location [445, 161, 639, 353] | Detected Sprinkled donut at location [208, 251, 505, 472]
Detected donut at location [2, 12, 639, 472]
Detected sprinkled donut at location [445, 161, 639, 353] | [
445,
161,
639,
353
] |
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