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string
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string
label
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string
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dict
000000296471.jpg
http://images.cocodataset.org/train2017/000000296471.jpg
640
492
The cat is inside the refrigerator.
0
inside
{ "labels": [ "cat", "refrigerator" ], "label_positions": [ [ 4, 7 ], [ 22, 34 ] ], "bboxes": [ [ 146.33, 195.32, 314.92, 293.71 ], [ 1.11, 2.49, 638.89, 421.24 ] ] }
000000155777.jpg
http://images.cocodataset.org/train2017/000000155777.jpg
480
640
The bird is away from the motorcycle.
1
away from
{ "labels": [ "bird", "motorcycle" ], "label_positions": [ [ 4, 8 ], [ 26, 36 ] ], "bboxes": [ [ 68.82, 139.01, 411.18, 269.76 ], [ 176.73, 100.14, 61.98, 58.21 ] ] }
000000262118.jpg
http://images.cocodataset.org/train2017/000000262118.jpg
640
480
The bed is right of the bench.
1
right of
{ "labels": [ "bed", "bench" ], "label_positions": [ [ 4, 7 ], [ 24, 29 ] ], "bboxes": [ [ 5.39, 61.48, 99.24, 159.64 ], [ 73.51, 132.97, 491.9, 310.27 ] ] }
000000068878.jpg
http://images.cocodataset.org/train2017/000000068878.jpg
640
640
The car is over the cat.
0
over
{ "labels": [ "car", "cat" ], "label_positions": [ [ 4, 7 ], [ 20, 23 ] ], "bboxes": [ [ 34.41, 379.87, 573.93, 235.36 ], [ 194.06, 246.37, 144.52, 196.81 ] ] }
000000447741.jpg
http://images.cocodataset.org/train2017/000000447741.jpg
480
640
The person is surrounding the cat.
1
surrounding
{ "labels": [ "person", "cat" ], "label_positions": [ [ 4, 10 ], [ 30, 33 ] ], "bboxes": [ [ 106.43, 21.57, 339.41, 463.1 ], [ 151.72, 251.03, 197.25, 164.14 ] ] }
000000254356.jpg
http://images.cocodataset.org/train2017/000000254356.jpg
640
480
The dining table is near the person.
0
near
{ "labels": [ "dining table", "person" ], "label_positions": [ [ 4, 16 ], [ 29, 35 ] ], "bboxes": [ [ 28.37, 289.08, 549.22, 184.96 ], [ 325.18, 206.12, 49.41, 51.76 ] ] }
000000013636.jpg
http://images.cocodataset.org/train2017/000000013636.jpg
640
480
The cat is away from the dog.
1
away from
{ "labels": [ "cat", "dog" ], "label_positions": [ [ 4, 7 ], [ 25, 28 ] ], "bboxes": [ [ 90.84, 161.03, 168.26, 135.23 ], [ 135.33, 107.83, 504.67, 367.06 ] ] }
000000363875.jpg
http://images.cocodataset.org/val2017/000000363875.jpg
558
640
The motorcycle is far away from the bus.
0
far away from
{ "labels": [ "motorcycle", "bus" ], "label_positions": [ [ 4, 14 ], [ 36, 39 ] ], "bboxes": [ [ 2.86, 153.4, 555.14, 476.78 ], [ 0, 3.32, 558, 382.34 ] ] }
000000046927.jpg
http://images.cocodataset.org/train2017/000000046927.jpg
480
640
The sheep is beside the chair.
0
beside
{ "labels": [ "sheep", "chair" ], "label_positions": [ [ 4, 9 ], [ 24, 29 ] ], "bboxes": [ [ 186.17, 194.95, 166.32, 149.75 ], [ 108.73, 126.62, 337.21, 505.12 ] ] }
000000528832.jpg
http://images.cocodataset.org/train2017/000000528832.jpg
640
428
The couch is under the teddy bear.
1
under
{ "labels": [ "couch", "teddy bear" ], "label_positions": [ [ 4, 9 ], [ 23, 33 ] ], "bboxes": [ [ 0, 0.88, 640, 421.66 ], [ 197.43, 46.72, 348.5, 318.08 ] ] }
000000117445.jpg
http://images.cocodataset.org/train2017/000000117445.jpg
640
552
The bird is inside the car.
1
inside
{ "labels": [ "bird", "car" ], "label_positions": [ [ 4, 8 ], [ 23, 26 ] ], "bboxes": [ [ 99.02, 132.5, 540.98, 419.5 ], [ 0, 0, 640, 552 ] ] }
000000391632.jpg
http://images.cocodataset.org/train2017/000000391632.jpg
640
601
The suitcase contains the cat.
0
contains
{ "labels": [ "suitcase", "cat" ], "label_positions": [ [ 4, 12 ], [ 26, 29 ] ], "bboxes": [ [ 43.22, 133.71, 415.97, 460.54 ], [ 0, 5.17, 400.67, 232.65 ] ] }
000000082826.jpg
http://images.cocodataset.org/train2017/000000082826.jpg
640
483
The dog is under the person.
0
under
{ "labels": [ "dog", "person" ], "label_positions": [ [ 4, 7 ], [ 21, 27 ] ], "bboxes": [ [ 125.37, 2.78, 463.56, 476.19 ], [ 436.54, 1.08, 203.46, 478.68 ] ] }
000000094174.jpg
http://images.cocodataset.org/train2017/000000094174.jpg
640
426
The teddy bear is off the dining table.
1
off
{ "labels": [ "teddy bear", "dining table" ], "label_positions": [ [ 4, 14 ], [ 26, 38 ] ], "bboxes": [ [ 103.54, 101.72, 259.16, 324.28 ], [ 469.23, 113.35, 139.19, 304.74 ] ] }
000000159403.jpg
http://images.cocodataset.org/train2017/000000159403.jpg
640
511
The dining table is next to the bus.
0
next to
{ "labels": [ "dining table", "bus" ], "label_positions": [ [ 4, 16 ], [ 32, 35 ] ], "bboxes": [ [ 1.33, 246.87, 638.42, 256.17 ], [ 45.93, 117.42, 550.05, 241.14 ] ] }
000000099619.jpg
http://images.cocodataset.org/train2017/000000099619.jpg
480
640
The person is in front of the zebra.
0
in front of
{ "labels": [ "person", "zebra" ], "label_positions": [ [ 4, 10 ], [ 30, 35 ] ], "bboxes": [ [ 43.15, 63.04, 208.54, 569.53 ], [ 221.92, 170.5, 165.9, 446.35 ] ] }
000000425078.jpg
http://images.cocodataset.org/train2017/000000425078.jpg
640
426
The person is in the bus.
0
in
{ "labels": [ "person", "bus" ], "label_positions": [ [ 4, 10 ], [ 21, 24 ] ], "bboxes": [ [ 215.33, 275.52, 40.65, 64.71 ], [ 320.7, 65.1, 270.91, 329.31 ] ] }
000000440057.jpg
http://images.cocodataset.org/train2017/000000440057.jpg
640
480
The laptop is touching the cat.
0
touching
{ "labels": [ "laptop", "cat" ], "label_positions": [ [ 4, 10 ], [ 27, 30 ] ], "bboxes": [ [ 112.18, 0, 290.16, 155.33 ], [ 54.71, 158.97, 485.16, 259.09 ] ] }
000000238795.jpg
http://images.cocodataset.org/train2017/000000238795.jpg
640
480
The broccoli is at the left side of the pizza.
1
at the left side of
{ "labels": [ "broccoli", "pizza" ], "label_positions": [ [ 4, 12 ], [ 40, 45 ] ], "bboxes": [ [ 13.58, 223.58, 167.55, 194.72 ], [ 64.72, 176.9, 265.35, 280.45 ] ] }
000000423267.jpg
http://images.cocodataset.org/train2017/000000423267.jpg
640
427
The dog is on the person.
1
on
{ "labels": [ "dog", "person" ], "label_positions": [ [ 4, 7 ], [ 18, 24 ] ], "bboxes": [ [ 372.65, 251.89, 259.66, 125.08 ], [ 258.12, 2.88, 381.88, 424.12 ] ] }
000000344460.jpg
http://images.cocodataset.org/train2017/000000344460.jpg
640
480
The suitcase contains the teddy bear.
1
contains
{ "labels": [ "suitcase", "teddy bear" ], "label_positions": [ [ 4, 12 ], [ 26, 36 ] ], "bboxes": [ [ 73.35, 40.81, 467.05, 428.22 ], [ 151.59, 278.39, 125.64, 105.97 ] ] }
000000575487.jpg
http://images.cocodataset.org/train2017/000000575487.jpg
500
333
The person is facing the oven.
1
facing
{ "labels": [ "person", "oven" ], "label_positions": [ [ 4, 10 ], [ 25, 29 ] ], "bboxes": [ [ 263.41, 67.35, 231.23, 255.92 ], [ 80.25, 86.63, 267.75, 243 ] ] }
000000351654.jpg
http://images.cocodataset.org/train2017/000000351654.jpg
640
609
The dining table is below the pizza.
0
below
{ "labels": [ "dining table", "pizza" ], "label_positions": [ [ 4, 16 ], [ 30, 35 ] ], "bboxes": [ [ 337.8, 310.05, 299.75, 201.41 ], [ 4.08, 534.51, 292.26, 58.45 ] ] }
000000145722.jpg
http://images.cocodataset.org/train2017/000000145722.jpg
640
480
The cup is left of the hot dog.
0
left of
{ "labels": [ "cup", "hot dog" ], "label_positions": [ [ 4, 7 ], [ 23, 30 ] ], "bboxes": [ [ 287.49, 0, 121.92, 73.16 ], [ 89.22, 59.93, 469.84, 288 ] ] }
000000575349.jpg
http://images.cocodataset.org/train2017/000000575349.jpg
612
612
The donut is on the dining table.
0
on
{ "labels": [ "donut", "dining table" ], "label_positions": [ [ 4, 9 ], [ 20, 32 ] ], "bboxes": [ [ 270.43, 285.81, 72.44, 48.46 ], [ 0, 389.2, 612, 215.92 ] ] }
000000251655.jpg
http://images.cocodataset.org/train2017/000000251655.jpg
427
640
The bed is under the person.
0
under
{ "labels": [ "bed", "person" ], "label_positions": [ [ 4, 7 ], [ 21, 27 ] ], "bboxes": [ [ 24.45, 184.09, 382.56, 204.22 ], [ 25.83, 264.18, 375.96, 286.99 ] ] }
000000180682.jpg
http://images.cocodataset.org/train2017/000000180682.jpg
480
640
The person is touching the teddy bear.
1
touching
{ "labels": [ "person", "teddy bear" ], "label_positions": [ [ 4, 10 ], [ 27, 37 ] ], "bboxes": [ [ 17.61, 1.92, 403.42, 553.49 ], [ 28.76, 175.46, 404.14, 432.9 ] ] }
000000472309.jpg
http://images.cocodataset.org/train2017/000000472309.jpg
640
424
The person is at the right side of the teddy bear.
1
at the right side of
{ "labels": [ "person", "teddy bear" ], "label_positions": [ [ 4, 10 ], [ 39, 49 ] ], "bboxes": [ [ 332.12, 7.9, 197.16, 411.55 ], [ 108.38, 78.91, 359.35, 339.39 ] ] }
000000554102.jpg
http://images.cocodataset.org/train2017/000000554102.jpg
640
350
The cup is left of the person.
1
left of
{ "labels": [ "cup", "person" ], "label_positions": [ [ 4, 7 ], [ 23, 29 ] ], "bboxes": [ [ 508.48, 158.39, 44.51, 58.88 ], [ 122.42, 3.23, 377.47, 342.15 ] ] }
000000423875.jpg
http://images.cocodataset.org/train2017/000000423875.jpg
640
480
The motorcycle is next to the truck.
0
next to
{ "labels": [ "motorcycle", "truck" ], "label_positions": [ [ 4, 14 ], [ 30, 35 ] ], "bboxes": [ [ 20.65, 127.16, 381.58, 277.59 ], [ 322.87, 111.93, 314.26, 167.89 ] ] }
000000329421.jpg
http://images.cocodataset.org/train2017/000000329421.jpg
640
640
The dining table is on the boat.
0
on
{ "labels": [ "dining table", "boat" ], "label_positions": [ [ 4, 16 ], [ 27, 31 ] ], "bboxes": [ [ 99.58, 320.75, 69.31, 53.19 ], [ 227.24, 355.6, 356.67, 171.14 ] ] }
000000095517.jpg
http://images.cocodataset.org/train2017/000000095517.jpg
640
428
The elephant is next to the person.
1
next to
{ "labels": [ "elephant", "person" ], "label_positions": [ [ 4, 12 ], [ 28, 34 ] ], "bboxes": [ [ 0, 0, 426.08, 423.19 ], [ 372.22, 138.5, 250.06, 280.84 ] ] }
000000408621.jpg
http://images.cocodataset.org/train2017/000000408621.jpg
640
431
The bus is behind the bench.
0
behind
{ "labels": [ "bus", "bench" ], "label_positions": [ [ 4, 7 ], [ 22, 27 ] ], "bboxes": [ [ 215.02, 213.08, 424.98, 197.58 ], [ 0, 351.71, 22.77, 16.59 ] ] }
000000283405.jpg
http://images.cocodataset.org/train2017/000000283405.jpg
480
640
The banana is in front of the person.
1
in front of
{ "labels": [ "banana", "person" ], "label_positions": [ [ 4, 10 ], [ 30, 36 ] ], "bboxes": [ [ 75.53, 334.76, 51.1, 119.92 ], [ 66.16, 5.51, 291.95, 628.5 ] ] }
000000271058.jpg
http://images.cocodataset.org/train2017/000000271058.jpg
640
480
The person is touching the pizza.
0
touching
{ "labels": [ "person", "pizza" ], "label_positions": [ [ 4, 10 ], [ 27, 32 ] ], "bboxes": [ [ 296.63, 4.13, 306.34, 419.6 ], [ 89.53, 330.07, 234.07, 83.05 ] ] }
000000213579.jpg
http://images.cocodataset.org/train2017/000000213579.jpg
640
360
The person is touching the dining table.
0
touching
{ "labels": [ "person", "dining table" ], "label_positions": [ [ 4, 10 ], [ 27, 39 ] ], "bboxes": [ [ 215.19, 0, 424.81, 355.96 ], [ 0.85, 187.79, 629.36, 166.02 ] ] }
000000499656.jpg
http://images.cocodataset.org/train2017/000000499656.jpg
640
428
The book is touching the cat.
1
touching
{ "labels": [ "book", "cat" ], "label_positions": [ [ 4, 8 ], [ 25, 28 ] ], "bboxes": [ [ 105.8, 151.67, 533.8, 270.27 ], [ 58.34, 10.33, 349.97, 278.59 ] ] }
000000061946.jpg
http://images.cocodataset.org/train2017/000000061946.jpg
640
429
The sandwich is touching the teddy bear.
1
touching
{ "labels": [ "sandwich", "teddy bear" ], "label_positions": [ [ 4, 12 ], [ 29, 39 ] ], "bboxes": [ [ 0, 177.38, 346.09, 244.87 ], [ 216.91, 67.48, 207.27, 213.06 ] ] }
000000093133.jpg
http://images.cocodataset.org/train2017/000000093133.jpg
640
601
The dining table is in front of the potted plant.
1
in front of
{ "labels": [ "dining table", "potted plant" ], "label_positions": [ [ 4, 16 ], [ 36, 48 ] ], "bboxes": [ [ 8.09, 219.58, 623.9, 315.32 ], [ 476.85, 97.98, 126.93, 100.05 ] ] }
000000579917.jpg
http://images.cocodataset.org/train2017/000000579917.jpg
640
480
The banana is behind the cake.
1
behind
{ "labels": [ "banana", "cake" ], "label_positions": [ [ 4, 10 ], [ 25, 29 ] ], "bboxes": [ [ 99.01, 0, 291.66, 137.33 ], [ 70.11, 25.71, 492.95, 426.07 ] ] }
000000287781.jpg
http://images.cocodataset.org/train2017/000000287781.jpg
480
640
The umbrella is attached to the bicycle.
0
attached to
{ "labels": [ "umbrella", "bicycle" ], "label_positions": [ [ 4, 12 ], [ 32, 39 ] ], "bboxes": [ [ 0, 69.19, 438.2, 125.4 ], [ 200.54, 309.89, 20.31, 30.91 ] ] }
000000108113.jpg
http://images.cocodataset.org/train2017/000000108113.jpg
640
480
The dog is at the left side of the donut.
1
at the left side of
{ "labels": [ "dog", "donut" ], "label_positions": [ [ 4, 7 ], [ 35, 40 ] ], "bboxes": [ [ 18.35, 66.73, 199.92, 352.52 ], [ 200.18, 69.96, 438.03, 290.58 ] ] }
000000231786.jpg
http://images.cocodataset.org/train2017/000000231786.jpg
480
640
The refrigerator is in the tv.
0
in
{ "labels": [ "refrigerator", "tv" ], "label_positions": [ [ 4, 16 ], [ 27, 29 ] ], "bboxes": [ [ 241.62, 145.35, 151.01, 487.55 ], [ 16.42, 310.78, 92.99, 176.49 ] ] }
000000199458.jpg
http://images.cocodataset.org/train2017/000000199458.jpg
640
437
The car is on the couch.
0
on
{ "labels": [ "car", "couch" ], "label_positions": [ [ 4, 7 ], [ 18, 23 ] ], "bboxes": [ [ 318.86, 101.57, 27.81, 9.79 ], [ 461.38, 95.65, 177.24, 335.72 ] ] }
000000256322.jpg
http://images.cocodataset.org/train2017/000000256322.jpg
640
480
The cat is in the umbrella.
1
in
{ "labels": [ "cat", "umbrella" ], "label_positions": [ [ 4, 7 ], [ 18, 26 ] ], "bboxes": [ [ 126.97, 288.07, 289.03, 105.29 ], [ 178.66, 154.84, 434.9, 245.91 ] ] }
000000145680.jpg
http://images.cocodataset.org/train2017/000000145680.jpg
612
612
The cake is below the broccoli.
1
below
{ "labels": [ "cake", "broccoli" ], "label_positions": [ [ 4, 8 ], [ 22, 30 ] ], "bboxes": [ [ 341.07, 357.57, 268.18, 224.17 ], [ 19.03, 249.08, 141.1, 72.93 ] ] }
000000108113.jpg
http://images.cocodataset.org/train2017/000000108113.jpg
640
480
The donut is on the dog.
1
on
{ "labels": [ "donut", "dog" ], "label_positions": [ [ 4, 9 ], [ 20, 23 ] ], "bboxes": [ [ 200.18, 69.96, 438.03, 290.58 ], [ 18.35, 66.73, 199.92, 352.52 ] ] }
000000488964.jpg
http://images.cocodataset.org/train2017/000000488964.jpg
480
640
The cat is on the couch.
0
on
{ "labels": [ "cat", "couch" ], "label_positions": [ [ 4, 7 ], [ 18, 23 ] ], "bboxes": [ [ 297.71, 166.83, 179.77, 359.55 ], [ 1.38, 0, 478.62, 362.93 ] ] }
000000357549.jpg
http://images.cocodataset.org/train2017/000000357549.jpg
640
427
The train is near the bicycle.
1
near
{ "labels": [ "train", "bicycle" ], "label_positions": [ [ 4, 9 ], [ 22, 29 ] ], "bboxes": [ [ 177.52, 1.76, 462.48, 343.52 ], [ 302.77, 249.85, 185.89, 173.01 ] ] }
000000044432.jpg
http://images.cocodataset.org/train2017/000000044432.jpg
408
500
The teddy bear is on top of the bear.
0
on top of
{ "labels": [ "teddy bear", "bear" ], "label_positions": [ [ 4, 14 ], [ 32, 36 ] ], "bboxes": [ [ 206.87, 130.46, 200.05, 275.16 ], [ 27.69, 142.85, 128.3, 98.46 ] ] }
000000125703.jpg
http://images.cocodataset.org/train2017/000000125703.jpg
525
640
The elephant is facing the person.
1
facing
{ "labels": [ "elephant", "person" ], "label_positions": [ [ 4, 12 ], [ 27, 33 ] ], "bboxes": [ [ 21.57, 258.88, 355.24, 314.96 ], [ 342.44, 122.44, 167.16, 479.73 ] ] }
000000053315.jpg
http://images.cocodataset.org/train2017/000000053315.jpg
480
640
The bench is next to the cake.
0
next to
{ "labels": [ "bench", "cake" ], "label_positions": [ [ 4, 9 ], [ 25, 29 ] ], "bboxes": [ [ 348.04, 279.39, 131.96, 19.21 ], [ 0, 364.2, 386.01, 248.25 ] ] }
000000366349.jpg
http://images.cocodataset.org/train2017/000000366349.jpg
500
375
The book is on top of the teddy bear.
1
on top of
{ "labels": [ "book", "teddy bear" ], "label_positions": [ [ 4, 8 ], [ 26, 36 ] ], "bboxes": [ [ 27.36, 51.17, 387.96, 323.83 ], [ 274.72, 2.39, 195.5, 248.59 ] ] }
000000392825.jpg
http://images.cocodataset.org/train2017/000000392825.jpg
500
333
The motorcycle is far away from the bus.
1
far away from
{ "labels": [ "motorcycle", "bus" ], "label_positions": [ [ 4, 14 ], [ 36, 39 ] ], "bboxes": [ [ 367.85, 208.96, 9.77, 19.21 ], [ 104.69, 73.48, 225.86, 242.38 ] ] }
000000187424.jpg
http://images.cocodataset.org/train2017/000000187424.jpg
640
480
The car is behind the toilet.
1
behind
{ "labels": [ "car", "toilet" ], "label_positions": [ [ 4, 7 ], [ 22, 28 ] ], "bboxes": [ [ 1.08, 223.78, 238.92, 250.81 ], [ 321.6, 308.43, 93.65, 112.2 ] ] }
000000289698.jpg
http://images.cocodataset.org/train2017/000000289698.jpg
640
480
The cat is in the microwave.
0
in
{ "labels": [ "cat", "microwave" ], "label_positions": [ [ 4, 7 ], [ 18, 27 ] ], "bboxes": [ [ 170.32, 23.74, 336.52, 451.1 ], [ 443.47, 164.94, 177.12, 252.97 ] ] }
000000422886.jpg
http://images.cocodataset.org/val2017/000000422886.jpg
640
640
The hot dog is in the person.
1
in
{ "labels": [ "hot dog", "person" ], "label_positions": [ [ 4, 11 ], [ 22, 28 ] ], "bboxes": [ [ 265.66, 253.58, 141.89, 197.74 ], [ 21.57, 28.76, 618.43, 604.05 ] ] }
000000293027.jpg
http://images.cocodataset.org/train2017/000000293027.jpg
640
480
The bed is in front of the handbag.
0
in front of
{ "labels": [ "bed", "handbag" ], "label_positions": [ [ 4, 7 ], [ 27, 34 ] ], "bboxes": [ [ 0, 41.76, 640, 438.02 ], [ 0, 140.22, 516.67, 308.5 ] ] }
000000504158.jpg
http://images.cocodataset.org/train2017/000000504158.jpg
640
640
The dog is above the cat.
0
above
{ "labels": [ "dog", "cat" ], "label_positions": [ [ 4, 7 ], [ 21, 24 ] ], "bboxes": [ [ 170.67, 23.27, 447.35, 597.34 ], [ 26.15, 22.02, 382.62, 328.95 ] ] }
000000002570.jpg
http://images.cocodataset.org/train2017/000000002570.jpg
640
480
The laptop is at the right side of the donut.
0
at the right side of
{ "labels": [ "laptop", "donut" ], "label_positions": [ [ 4, 10 ], [ 39, 44 ] ], "bboxes": [ [ 0, 0, 606.2, 177.98 ], [ 176.9, 169.35, 387.23, 250.25 ] ] }
000000341139.jpg
http://images.cocodataset.org/train2017/000000341139.jpg
640
480
The sandwich is at the side of the dining table.
0
at the side of
{ "labels": [ "sandwich", "dining table" ], "label_positions": [ [ 4, 12 ], [ 35, 47 ] ], "bboxes": [ [ 146.04, 122.57, 440.27, 300.67 ], [ 4.31, 2.16, 635.69, 472.45 ] ] }
000000570588.jpg
http://images.cocodataset.org/train2017/000000570588.jpg
640
427
The train is perpendicular to the bench.
1
perpendicular to
{ "labels": [ "train", "bench" ], "label_positions": [ [ 4, 9 ], [ 34, 39 ] ], "bboxes": [ [ 31.59, 151.27, 577.32, 145.52 ], [ 579.97, 295.92, 46.67, 35.36 ] ] }
000000509783.jpg
http://images.cocodataset.org/train2017/000000509783.jpg
640
483
The person is far from the elephant.
1
far from
{ "labels": [ "person", "elephant" ], "label_positions": [ [ 4, 10 ], [ 27, 35 ] ], "bboxes": [ [ 50.19, 37.97, 42.82, 123.85 ], [ 117.49, 73.43, 349.19, 286.1 ] ] }
000000420964.jpg
http://images.cocodataset.org/train2017/000000420964.jpg
640
478
The truck is behind the elephant.
0
behind
{ "labels": [ "truck", "elephant" ], "label_positions": [ [ 4, 9 ], [ 24, 32 ] ], "bboxes": [ [ 156.1, 175.41, 352.04, 237.92 ], [ 221.28, 23.7, 213.75, 216.98 ] ] }
000000134688.jpg
http://images.cocodataset.org/train2017/000000134688.jpg
640
480
The dining table is under the teddy bear.
1
under
{ "labels": [ "dining table", "teddy bear" ], "label_positions": [ [ 4, 16 ], [ 30, 40 ] ], "bboxes": [ [ 2.16, 158.56, 637.84, 321.44 ], [ 193.8, 3.21, 263.48, 274.65 ] ] }
000000031084.jpg
http://images.cocodataset.org/train2017/000000031084.jpg
640
480
The hot dog is far away from the oven.
0
far away from
{ "labels": [ "hot dog", "oven" ], "label_positions": [ [ 4, 11 ], [ 33, 37 ] ], "bboxes": [ [ 470.99, 436.22, 40.84, 43.2 ], [ 19.33, 88.16, 493.96, 386.57 ] ] }
000000099546.jpg
http://images.cocodataset.org/train2017/000000099546.jpg
640
427
The dining table is touching the teddy bear.
0
touching
{ "labels": [ "dining table", "teddy bear" ], "label_positions": [ [ 4, 16 ], [ 33, 43 ] ], "bboxes": [ [ 0, 292.66, 640, 129.54 ], [ 154.33, 100.41, 83.27, 57.71 ] ] }
000000456422.jpg
http://images.cocodataset.org/train2017/000000456422.jpg
426
640
The teddy bear is inside the suitcase.
0
inside
{ "labels": [ "teddy bear", "suitcase" ], "label_positions": [ [ 4, 14 ], [ 29, 37 ] ], "bboxes": [ [ 43.15, 20.13, 296.27, 428.59 ], [ 1.66, 129.66, 424.34, 502.03 ] ] }
000000254050.jpg
http://images.cocodataset.org/train2017/000000254050.jpg
480
640
The backpack is on the dog.
1
on
{ "labels": [ "backpack", "dog" ], "label_positions": [ [ 4, 12 ], [ 23, 26 ] ], "bboxes": [ [ 58.99, 177.49, 339.87, 211.2 ], [ 138.06, 105.29, 286.46, 440 ] ] }
000000491216.jpg
http://images.cocodataset.org/val2017/000000491216.jpg
480
640
The cat is in the refrigerator.
0
in
{ "labels": [ "cat", "refrigerator" ], "label_positions": [ [ 4, 7 ], [ 18, 30 ] ], "bboxes": [ [ 179.73, 423.32, 91.19, 92.69 ], [ 4.3, 38.74, 104.76, 591.22 ] ] }
000000530658.jpg
http://images.cocodataset.org/train2017/000000530658.jpg
640
480
The laptop is under the cat.
0
under
{ "labels": [ "laptop", "cat" ], "label_positions": [ [ 4, 10 ], [ 24, 27 ] ], "bboxes": [ [ 0, 132.93, 272.51, 347.07 ], [ 139.06, 67.57, 332.7, 278.11 ] ] }
000000104130.jpg
http://images.cocodataset.org/train2017/000000104130.jpg
640
367
The bowl is touching the bird.
0
touching
{ "labels": [ "bowl", "bird" ], "label_positions": [ [ 4, 8 ], [ 25, 29 ] ], "bboxes": [ [ 242, 282.8, 301.41, 84.2 ], [ 32.22, 78.7, 543.03, 278.98 ] ] }
000000240718.jpg
http://images.cocodataset.org/train2017/000000240718.jpg
640
441
The pizza is in the oven.
1
in
{ "labels": [ "pizza", "oven" ], "label_positions": [ [ 4, 9 ], [ 20, 24 ] ], "bboxes": [ [ 227.93, 54.51, 204.15, 155.58 ], [ 33.22, 0, 606.78, 422.48 ] ] }
000000040359.jpg
http://images.cocodataset.org/train2017/000000040359.jpg
640
496
The cat is beneath the car.
0
beneath
{ "labels": [ "cat", "car" ], "label_positions": [ [ 4, 7 ], [ 23, 26 ] ], "bboxes": [ [ 45.87, 187.73, 540.8, 221.87 ], [ 0.62, 323.76, 637.61, 169.86 ] ] }
000000032284.jpg
http://images.cocodataset.org/train2017/000000032284.jpg
640
484
The motorcycle is facing the truck.
0
facing
{ "labels": [ "motorcycle", "truck" ], "label_positions": [ [ 4, 14 ], [ 29, 34 ] ], "bboxes": [ [ 22.84, 89.19, 588.41, 272.99 ], [ 1.2, 0, 405.12, 295.18 ] ] }
000000070744.jpg
http://images.cocodataset.org/train2017/000000070744.jpg
640
360
The surfboard is connected to the bicycle.
0
connected to
{ "labels": [ "surfboard", "bicycle" ], "label_positions": [ [ 4, 13 ], [ 34, 41 ] ], "bboxes": [ [ 87.43, 0.93, 256.39, 354.89 ], [ 144, 29.65, 494.68, 327.81 ] ] }
000000187432.jpg
http://images.cocodataset.org/train2017/000000187432.jpg
480
640
The cat is at the left side of the bed.
0
at the left side of
{ "labels": [ "cat", "bed" ], "label_positions": [ [ 4, 7 ], [ 35, 38 ] ], "bboxes": [ [ 297.25, 95.28, 182.75, 243.42 ], [ 0, 17.26, 480, 615.55 ] ] }
000000542776.jpg
http://images.cocodataset.org/val2017/000000542776.jpg
640
426
The book is touching the bird.
1
touching
{ "labels": [ "book", "bird" ], "label_positions": [ [ 4, 8 ], [ 25, 29 ] ], "bboxes": [ [ 34.77, 200.87, 605.23, 225.13 ], [ 227.46, 150.58, 164.4, 120.88 ] ] }
000000273450.jpg
http://images.cocodataset.org/train2017/000000273450.jpg
640
612
The parking meter is behind the car.
0
behind
{ "labels": [ "parking meter", "car" ], "label_positions": [ [ 4, 17 ], [ 32, 35 ] ], "bboxes": [ [ 0, 0, 640, 604.05 ], [ 0, 0, 339.6, 449.44 ] ] }
000000332607.jpg
http://images.cocodataset.org/train2017/000000332607.jpg
480
640
The wine glass is touching the person.
1
touching
{ "labels": [ "wine glass", "person" ], "label_positions": [ [ 4, 14 ], [ 31, 37 ] ], "bboxes": [ [ 143.08, 141.89, 43.84, 68.67 ], [ 38.83, 35.96, 355.24, 599.73 ] ] }
000000469648.jpg
http://images.cocodataset.org/train2017/000000469648.jpg
640
481
The teddy bear is touching the bed.
1
touching
{ "labels": [ "teddy bear", "bed" ], "label_positions": [ [ 4, 14 ], [ 31, 34 ] ], "bboxes": [ [ 18.38, 5.4, 529.64, 448.58 ], [ 0, 0, 640, 476.7 ] ] }
000000355156.jpg
http://images.cocodataset.org/train2017/000000355156.jpg
640
640
The person is facing away from the horse.
0
facing away from
{ "labels": [ "person", "horse" ], "label_positions": [ [ 4, 10 ], [ 35, 40 ] ], "bboxes": [ [ 135.47, 52.79, 163.34, 552.48 ], [ 68.14, 81.97, 549.03, 452.16 ] ] }
000000028134.jpg
http://images.cocodataset.org/train2017/000000028134.jpg
480
640
The bird is in the tv.
0
in
{ "labels": [ "bird", "tv" ], "label_positions": [ [ 4, 8 ], [ 19, 21 ] ], "bboxes": [ [ 129.82, 196.26, 199.49, 385.22 ], [ 322.87, 301.27, 93.27, 76.06 ] ] }
000000532998.jpg
http://images.cocodataset.org/train2017/000000532998.jpg
518
640
The train is parallel to the person.
1
parallel to
{ "labels": [ "train", "person" ], "label_positions": [ [ 4, 9 ], [ 29, 35 ] ], "bboxes": [ [ 248.25, 108.1, 264.04, 228.16 ], [ 67.29, 60.27, 263.45, 572.71 ] ] }
000000559728.jpg
http://images.cocodataset.org/train2017/000000559728.jpg
640
428
The sheep is connected to the person.
0
connected to
{ "labels": [ "sheep", "person" ], "label_positions": [ [ 4, 9 ], [ 30, 36 ] ], "bboxes": [ [ 269.97, 154.28, 132.96, 217.63 ], [ 180.82, 11.54, 257.76, 410.69 ] ] }
000000010092.jpg
http://images.cocodataset.org/val2017/000000010092.jpg
640
426
The bed is at the right side of the dining table.
0
at the right side of
{ "labels": [ "bed", "dining table" ], "label_positions": [ [ 4, 7 ], [ 36, 48 ] ], "bboxes": [ [ 93.61, 187.21, 345.76, 189.12 ], [ 546.22, 263.69, 93.57, 161.57 ] ] }
000000281920.jpg
http://images.cocodataset.org/train2017/000000281920.jpg
640
480
The pizza is under the broccoli.
0
under
{ "labels": [ "pizza", "broccoli" ], "label_positions": [ [ 4, 9 ], [ 23, 31 ] ], "bboxes": [ [ 0, 261.08, 478.92, 214.06 ], [ 342.21, 135.53, 297.79, 286.87 ] ] }
000000115846.jpg
http://images.cocodataset.org/train2017/000000115846.jpg
640
480
The couch is across from the dining table.
1
across from
{ "labels": [ "couch", "dining table" ], "label_positions": [ [ 4, 9 ], [ 29, 41 ] ], "bboxes": [ [ 0.61, 0, 638.97, 193.67 ], [ 1.08, 191.1, 638.92, 281.71 ] ] }
000000387136.jpg
http://images.cocodataset.org/train2017/000000387136.jpg
640
427
The motorcycle is in front of the truck.
1
in front of
{ "labels": [ "motorcycle", "truck" ], "label_positions": [ [ 4, 14 ], [ 34, 39 ] ], "bboxes": [ [ 601.13, 255.2, 38.87, 61.98 ], [ 0, 14.2, 616.81, 397.52 ] ] }
000000568171.jpg
http://images.cocodataset.org/train2017/000000568171.jpg
640
427
The cat is above the dining table.
1
above
{ "labels": [ "cat", "dining table" ], "label_positions": [ [ 4, 7 ], [ 21, 33 ] ], "bboxes": [ [ 271.81, 1.84, 337.93, 280.99 ], [ 1.92, 64.35, 636.18, 356 ] ] }
000000309956.jpg
http://images.cocodataset.org/train2017/000000309956.jpg
640
480
The cake is in front of the truck.
0
in front of
{ "labels": [ "cake", "truck" ], "label_positions": [ [ 4, 8 ], [ 28, 33 ] ], "bboxes": [ [ 1.08, 1.08, 629.93, 473.53 ], [ 86.52, 72.3, 412.44, 292.74 ] ] }
000000319655.jpg
http://images.cocodataset.org/train2017/000000319655.jpg
640
427
The motorcycle is parallel to the bus.
1
parallel to
{ "labels": [ "motorcycle", "bus" ], "label_positions": [ [ 4, 14 ], [ 34, 37 ] ], "bboxes": [ [ 542.12, 368.9, 40.43, 18.56 ], [ 0, 88.28, 515.28, 333.92 ] ] }
000000301262.jpg
http://images.cocodataset.org/train2017/000000301262.jpg
480
640
The fire hydrant is in front of the stop sign.
0
in front of
{ "labels": [ "fire hydrant", "stop sign" ], "label_positions": [ [ 4, 16 ], [ 36, 45 ] ], "bboxes": [ [ 360.46, 556.4, 42.18, 80 ], [ 122.25, 27.33, 240.18, 238.74 ] ] }
000000164786.jpg
http://images.cocodataset.org/train2017/000000164786.jpg
640
386
The person is in front of the train.
0
in front of
{ "labels": [ "person", "train" ], "label_positions": [ [ 4, 10 ], [ 30, 35 ] ], "bboxes": [ [ 573.19, 207.91, 14.1, 19.51 ], [ 29.49, 62.45, 603.72, 284.52 ] ] }
000000019037.jpg
http://images.cocodataset.org/train2017/000000019037.jpg
640
359
The bed is at the left side of the dog.
0
at the left side of
{ "labels": [ "bed", "dog" ], "label_positions": [ [ 4, 7 ], [ 35, 38 ] ], "bboxes": [ [ 0.81, 0, 639.19, 359 ], [ 140.86, 48.47, 337.33, 278.82 ] ] }
000000537372.jpg
http://images.cocodataset.org/train2017/000000537372.jpg
640
480
The cat is at the edge of the bed.
1
at the edge of
{ "labels": [ "cat", "bed" ], "label_positions": [ [ 4, 7 ], [ 30, 33 ] ], "bboxes": [ [ 24.77, 80.52, 526.46, 338.58 ], [ 0, 205.56, 640, 269.06 ] ] }
000000408185.jpg
http://images.cocodataset.org/train2017/000000408185.jpg
640
480
The cat is on the laptop.
0
on
{ "labels": [ "cat", "laptop" ], "label_positions": [ [ 4, 7 ], [ 18, 24 ] ], "bboxes": [ [ 280.01, 107.36, 359.99, 232.94 ], [ 0, 15.1, 344.09, 357.03 ] ] }
000000324871.jpg
http://images.cocodataset.org/train2017/000000324871.jpg
427
640
The bench is attached to the elephant.
1
attached to
{ "labels": [ "bench", "elephant" ], "label_positions": [ [ 4, 9 ], [ 29, 37 ] ], "bboxes": [ [ 32.28, 162.23, 273.26, 136.11 ], [ 23.27, 294.23, 357.41, 344.11 ] ] }
000000292101.jpg
http://images.cocodataset.org/train2017/000000292101.jpg
640
480
The chair is above the cat.
0
above
{ "labels": [ "chair", "cat" ], "label_positions": [ [ 4, 9 ], [ 23, 26 ] ], "bboxes": [ [ 0.36, 0.07, 639.64, 479.93 ], [ 96.14, 143.85, 430.12, 242.35 ] ] }
000000205981.jpg
http://images.cocodataset.org/train2017/000000205981.jpg
424
640
The person is in the boat.
0
in
{ "labels": [ "person", "boat" ], "label_positions": [ [ 4, 10 ], [ 21, 25 ] ], "bboxes": [ [ 80.18, 183.4, 213.33, 186.13 ], [ 133.07, 300.2, 290.93, 312.08 ] ] }
End of preview. Expand in Data Studio

Grounded Visual Spatial Reasoning

Code for generating the annotations can be found here: github.com

Dataset Summary

This dataset extends the Visual Spatial Reasoning (VSR) dataset with visual grounding annotations: each caption is annotated with COCO-category object mentions, their positions , and corresponding bounding boxes in the image.

Data instance

Each sample instance has the following structure:

Field Type Description
image_file string COCO-style image filename
image_link string Direct COCO image URL
width int Image width
height int Image height
caption string Caption with two COCO-category object mentions
label bool Label from VSR original dataset
relation string Spatial relation
ref_exp.labels list[string] List of object labels from COCO categories
ref_exp.label_positions list[list[int]] Position (start, end) of each label in caption sentence
ref_exp.bboxes list[list[float]] Bounding boxes ([x, y, w, h] format)

Download Images

To download the images, follow the instructions from the VSR official GitHub repo.

Citation

If you use this dataset, please cite the original Visual Spatial Reasoning paper:

@article{Liu2022VisualSR,
  title={Visual Spatial Reasoning},
  author={Fangyu Liu and Guy Edward Toh Emerson and Nigel Collier},
  journal={Transactions of the Association for Computational Linguistics},
  year={2023},
}
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