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{ "bbox": [ [ 172.02, 191.99, 249.43999999999997, 152.70999999999998 ] ], "categories": [ 0 ], "category_names": [ "airplane" ] }
[ { "label": "airplane", "category": 0, "points": [ [ 176.92, 207.21 ], [ 258.97, 274.05 ], [ 229.63, 315.35 ], [ 215.5, 333.28 ], [ 222.56, 341.44 ], [ ...
{ "bbox": [ [ 39.73, 176.21, 311.40999999999997, 168.59 ], [ 466.52, 130.7, 173.33000000000004, 109.33000000000001 ], [ 468.69, 128.93, 170.98999999999995, 107.07999999999998 ], [ 46.92, 175.78, 299.9...
[ { "label": "sandwich", "category": 54, "points": [ [ 131.01, 294.33 ], [ 99.87, 291.11 ], [ 82.68, 283.59 ], [ 65.5, 279.3 ], [ 59.06, 267.49 ], [ 46....
{ "bbox": [ [ 308.47, 24.58, 296.9, 399.08000000000004 ], [ 258.45, 176.1, 110.88999999999999, 212.62000000000003 ], [ 167.21, 172.92, 15.219999999999999, 10.240000000000009 ] ], "categories": [ 37, 37, 37 ...
[ { "label": "horse", "category": 37, "points": [ [ 398.12, 101.7 ], [ 420.29, 143.15 ], [ 418.36, 147.97 ], [ 452.1, 170.14 ], [ 470.41, 178.82 ], [ 49...
{ "bbox": [ [ 214.77, 293.33, 99.46000000000001, 136.94 ], [ 22.31, 301.01, 96.88, 138.2 ] ], "categories": [ 70, 70 ], "category_names": [ "toilet", "toilet" ] }
[ { "label": "toilet", "category": 70, "points": [ [ 239.28, 303.42 ], [ 229.19, 312.07 ], [ 221.98, 320.72 ], [ 221.98, 323.6 ], [ 220.54, 330.81 ], [ ...
{ "bbox": [ [ 88.13, 1.99, 314.94, 498.96 ], [ 7.19, 490.43, 280.45, 67.58999999999997 ] ], "categories": [ 49, 58 ], "category_names": [ "person", "skateboard" ] }
[ { "label": "person", "category": 49, "points": [ [ 105.46, 5.42 ], [ 124.24, 45.87 ], [ 156.03, 96.43 ], [ 158.92, 118.1 ], [ 160.36, 129.66 ], [ 163....
{ "bbox": [ [ 219.1, 123.88, 181.17999999999998, 152.51999999999998 ], [ 252.14, 117.31, 247.86, 47.24000000000001 ], [ 56.49, 118.83, 176.29999999999998, 154.87 ] ], "categories": [ 54, 39, 54 ], "cate...
[ { "label": "sandwich", "category": 54, "points": [ [ 246.91, 128.09 ], [ 235.11, 155.06 ], [ 232.58, 186.24 ], [ 230.9, 208.15 ], [ 222.47, 241.01 ], [ ...
{ "bbox": [ [ 339.22, 201.86, 122.44999999999999, 99.27999999999997 ] ], "categories": [ 0 ], "category_names": [ "airplane" ] }
[ { "label": "airplane", "category": 0, "points": [ [ 350.4, 262.39 ], [ 339.22, 248.41 ], [ 339.22, 244.01 ], [ 342.61, 246.81 ], [ 343.41, 241.82 ], [ ...
{ "bbox": [ [ 213.98, 96.83, 188.81000000000003, 325.33000000000004 ], [ 101.28, 107.27, 88.63, 153.83000000000004 ], [ 1.92, 215.9, 38.47, 90.41 ], [ 520.08, 160.24, 113.21999999999991, 193.829...
[ { "label": "person", "category": 49, "points": [ [ 226.57, 421.19 ], [ 217.86, 401.83 ], [ 213.98, 377.62 ], [ 224.63, 382.46 ], [ 232.38, 362.13 ], [ ...
{ "bbox": [ [ 26.19, 16.44, 16.209999999999997, 15.349999999999998 ], [ 85.35, 179.69, 157.48000000000002, 439.72999999999996 ], [ 233.48, 248.29, 88.70000000000002, 73.08000000000001 ] ], "categories": [ 62, 4...
[ { "label": "sports ball", "category": 62, "points": [ [ 26.88, 21.1 ], [ 29.81, 17.82 ], [ 33.09, 16.44 ], [ 38.78, 16.96 ], [ 42.4, 21.27 ], [ 42.23,...
{ "bbox": [ [ 136.83, 237.34, 136.54, 101.39000000000001 ], [ 0, 347.09, 178.68, 109.68 ], [ 373.98, 349.49, 265.38, 103.49000000000001 ] ], "categories": [ 10, 22, 22 ], "category_names": [ "bird",...
[ { "label": "bird", "category": 10, "points": [ [ 161.16, 320.48 ], [ 165.22, 321.16 ], [ 162.51, 322.51 ], [ 159.13, 319.81 ], [ 157.78, 325.89 ], [ 1...
{ "bbox": [ [ 487.18, 133.19, 33.77000000000004, 33.870000000000005 ], [ 210.46, 167.13, 32.099999999999994, 110.28000000000003 ], [ 424.98, 167.27, 23.060000000000002, 85.42999999999998 ], [ 405.65, 170.25...
[ { "label": "sports ball", "category": 62, "points": [ [ 503.3, 133.19 ], [ 510.21, 134.63 ], [ 515.58, 137.99 ], [ 520.09, 143.55 ], [ 520.95, 151.61 ], [ ...
{ "bbox": [ [ 168.79, 20.75, 371.1600000000001, 387.53 ], [ 143.62, 296.92, 226.93, 125.43 ] ], "categories": [ 28, 14 ], "category_names": [ "dog", "bowl" ] }
[ { "label": "dog", "category": 28, "points": [ [ 214.43, 298.91 ], [ 224.76, 283.41 ], [ 235.1, 267.04 ], [ 247.15, 257.57 ], [ 250.6, 241.21 ], [ 249....
{ "bbox": [ [ 47.48, 0, 160, 131.1 ], [ 113.26, 89.2, 386.16, 224.36 ], [ 4.31, 198.74, 372.14, 236.23000000000002 ], [ 423.85, 54.42, 170.89999999999998, 131.93 ], [ 461.3, ...
[ { "label": "bottle", "category": 13, "points": [ [ 193.03, 0 ], [ 207.48, 94.97 ], [ 157.94, 109.42 ], [ 97.03, 131.1 ], [ 78.45, 109.42 ], [ 47.48, ...
{ "bbox": [ [ 326.13, 221.5, 76.01999999999998, 104.52999999999997 ], [ 421.77, 231.17, 66.23000000000002, 107.00000000000003 ], [ 0, 227.44, 16.72, 90.44999999999999 ], [ 465.49, 233.08, 22.509999999...
[ { "label": "chair", "category": 22, "points": [ [ 328.16, 285.31 ], [ 331.56, 273.09 ], [ 326.13, 266.3 ], [ 327.48, 255.44 ], [ 333.59, 252.73 ], [ 3...
{ "bbox": [ [ 343.83, 185.4, 61.03000000000003, 34.53999999999999 ], [ 332, 113.23, 253.33000000000004, 295.53999999999996 ], [ 79.16, 228.15, 194.1, 177.03 ], [ 554.4, 0, 84.14999999999998, 71....
[ { "label": "baseball bat", "category": 4, "points": [ [ 359.09, 218.33 ], [ 404.86, 189.82 ], [ 401.65, 185.4 ], [ 385.99, 191.03 ], [ 350.65, 207.49 ], [ ...
{ "bbox": [ [ 250.97, 416.53, 76.60999999999999, 93.05000000000001 ], [ 331.29, 406.59, 95.70999999999998, 168.66000000000003 ], [ 40.66, 517.56, 72.28, 60.24000000000001 ], [ 43.39, 343.37, 45.349999...
[ { "label": "broccoli", "category": 15, "points": [ [ 302.67, 492.66 ], [ 283.87, 503.47 ], [ 272.12, 509.58 ], [ 266.48, 507.7 ], [ 263.19, 498.77 ], [ ...
{ "bbox": [ [ 302.93, 128.2, 171.51, 94.20000000000002 ], [ 438.75, 214.39, 45.370000000000005, 8.800000000000011 ] ], "categories": [ 49, 59 ], "category_names": [ "person", "skis" ] }
[ { "label": "person", "category": 49, "points": [ [ 474.44, 216.26 ], [ 464.63, 212.58 ], [ 460.02, 210.74 ], [ 457.26, 209.2 ], [ 453.89, 207.98 ], [ ...
{ "bbox": [ [ 16.8, 216.58, 20.81, 8.48999999999998 ], [ 349.51, 202.95, 57.30000000000001, 58.79000000000002 ], [ 326.5, 259.54, 210.11, 84.58999999999997 ], [ 400.22, 269.72, 32.059999999999945, ...
[ { "label": "car", "category": 18, "points": [ [ 25.29, 216.74 ], [ 20.96, 219.07 ], [ 17.8, 219.74 ], [ 16.8, 220.41 ], [ 16.8, 221.9 ], [ 16.96, ...
{ "bbox": [ [ 289.03, 1.38, 132.13000000000005, 414.28000000000003 ], [ 178.11, 356.98, 153.96999999999997, 276.23 ] ], "categories": [ 13, 38 ], "category_names": [ "bottle", "hot dog" ] }
[ { "label": "bottle", "category": 13, "points": [ [ 335.83, 415.66 ], [ 386.75, 400.52 ], [ 421.16, 203.7 ], [ 404.65, 176.17 ], [ 421.16, 4.13 ], [ 35...
{ "bbox": [ [ 149.41, 0.14, 299.63, 251.11 ], [ 288.91, 2.53, 351.09, 418.64000000000004 ] ], "categories": [ 37, 37 ], "category_names": [ "horse", "horse" ] }
[ { "label": "horse", "category": 37, "points": [ [ 164.55, 203.6 ], [ 163.82, 190.56 ], [ 162.98, 188.56 ], [ 162.66, 185.94 ], [ 165.19, 183.41 ], [ 1...
{ "bbox": [ [ 208.94, 32.75, 203.3, 178.45 ], [ 113.19, 98.67, 23.060000000000002, 21.870000000000005 ], [ 423.11, 36.23, 59.96999999999997, 26.700000000000003 ], [ 161.75, 86.57, 38.81, 26.7000...
[ { "label": "tv", "category": 75, "points": [ [ 208.94, 32.75 ], [ 405.46, 33.88 ], [ 412.24, 211.2 ], [ 211.2, 211.2 ] ] }, { "label": "person", "category": 49, "points": [...
{ "bbox": [ [ 42.88, 282.74, 135.91, 164.71999999999997 ], [ 419.03, 250.18, 172.29000000000008, 238.45999999999998 ], [ 19.25, 409.19, 114.97, 130.65000000000003 ], [ 20.05, 28.05, 74.41, 175.7...
[ { "label": "cup", "category": 26, "points": [ [ 47.31, 316.72 ], [ 56.92, 306.38 ], [ 81.29, 292.34 ], [ 90.16, 287.91 ], [ 105.67, 283.48 ], [ 126.35...
{ "bbox": [ [ 123.13, 77.45, 239.11, 210.47000000000003 ], [ 105.23, 453.33, 87.92, 132.62000000000006 ], [ 82.16, 191.71, 194.6, 415.14 ] ], "categories": [ 76, 22, 49 ], "category_names": [ "umbre...
[ { "label": "umbrella", "category": 76, "points": [ [ 197.58, 209.18 ], [ 128.86, 136.16 ], [ 123.13, 121.84 ], [ 123.13, 86.04 ], [ 183.27, 77.45 ], [ ...
{ "bbox": [ [ 151.93, 284.78, 241.15999999999997, 130.78000000000003 ], [ 50.47, 213.8, 217.98999999999998, 94.49000000000001 ], [ 20.01, 259.26, 17.01, 47.920000000000016 ], [ 178.38, 266.49, 16.2100...
[ { "label": "car", "category": 18, "points": [ [ 177.13, 386.16 ], [ 183.13, 374.17 ], [ 264.11, 389.16 ], [ 265.31, 397.56 ], [ 274.91, 398.16 ], [ 28...
{ "bbox": [ [ 407.68, 408.7, 16, 48.06999999999999 ], [ 585.31, 178.73, 49.25, 30.05000000000001 ], [ 338.46, 183.2, 46.19, 16.350000000000023 ], [ 384.95, 166.04, 76.52000000000004, 23.84999999...
[ { "label": "bottle", "category": 13, "points": [ [ 413.45, 410.62 ], [ 413.71, 414.29 ], [ 410.83, 417.96 ], [ 409.25, 423.73 ], [ 407.68, 438.94 ], [ ...
{ "bbox": [ [ 174.49, 119.49, 257.94, 232.32999999999998 ] ], "categories": [ 73 ], "category_names": [ "train" ] }
[ { "label": "train", "category": 73, "points": [ [ 176.39, 331.91 ], [ 176.39, 205.78 ], [ 304.41, 119.49 ], [ 426.74, 124.23 ], [ 382.17, 124.23 ], [ ...
{ "bbox": [ [ 0.96, 82.71, 577.0799999999999, 210.64000000000004 ], [ 33.71, 197.77, 98.26999999999998, 230.23 ] ], "categories": [ 73, 49 ], "category_names": [ "train", "person" ] }
[ { "label": "train", "category": 73, "points": [ [ 0.96, 162.54 ], [ 305.85, 101.95 ], [ 352.98, 100.03 ], [ 408.76, 82.71 ], [ 505.91, 94.26 ], [ 513....
{ "bbox": [ [ 57.13, 139.57, 24.779999999999994, 58.56 ], [ 0, 1.83, 425.91, 575.28 ], [ 1.44, 562.88, 230.63, 69.19000000000005 ], [ 159.64, 530.26, 191.28000000000003, 92.03999999999996 ],...
[ { "label": "bottle", "category": 13, "points": [ [ 57.13, 198.13 ], [ 61.96, 176.89 ], [ 64.21, 167.56 ], [ 64.21, 142.78 ], [ 68.71, 139.57 ], [ 73.8...
{ "bbox": [ [ 444.19, 150.3, 195.81, 212.51999999999998 ], [ 8.62, 78.5, 42.120000000000005, 115.83000000000001 ], [ 73.71, 22.98, 169.45, 97.64 ], [ 24.12, 94.33, 38.53999999999999, 82.16000000...
[ { "label": "cup", "category": 26, "points": [ [ 447.06, 303.47 ], [ 463.33, 336.01 ], [ 499.71, 358.99 ], [ 551.41, 362.82 ], [ 591.61, 343.67 ], [ 61...
{ "bbox": [ [ 117.11, 345.77, 151.26, 53.23000000000002 ], [ 50.6, 106.03, 133.21, 278.85 ], [ 0, 0, 495.4, 368.74 ], [ 285.13, 297.21, 214.87, 101.79000000000002 ], [ 344.89, ...
[ { "label": "person", "category": 49, "points": [ [ 179.7, 383.42 ], [ 174.49, 361.42 ], [ 183.33, 349.4 ], [ 188.55, 345.77 ], [ 213.04, 368 ], [ 216....
{ "bbox": [ [ 196.01, 156.75, 256.08, 321.94 ], [ 445.14, 94.48, 153.28999999999996, 345.16999999999996 ], [ 449.46, 0.67, 174.74000000000007, 169.63000000000002 ], [ 213.09, 0.65, 120.53999999999999,...
[ { "label": "sheep", "category": 56, "points": [ [ 221.92, 249.26 ], [ 226.36, 292.93 ], [ 233.02, 323.27 ], [ 251.52, 340.29 ], [ 264.1, 358.06 ], [ 2...
{ "bbox": [ [ 162.46, 285.73, 18.17999999999998, 26.71999999999997 ], [ 143.76, 289.25, 17.370000000000005, 23.75999999999999 ], [ 234.23, 178.61, 291.64, 201.64 ], [ 299.98, 289.13, 14.35999999999995...
[ { "label": "person", "category": 49, "points": [ [ 170.09, 311.54 ], [ 177.18, 310.64 ], [ 180.64, 309.18 ], [ 180.64, 303.55 ], [ 179.91, 300.27 ], [ ...
{ "bbox": [ [ 312.1, 92.29, 163.77999999999997, 380.09 ], [ 434.58, 132.13, 205.42000000000002, 342.71 ], [ 501.02, 52.24, 138.98000000000002, 243.05 ], [ 244.53, 158.78, 27.359999999999985, 65....
[ { "label": "sheep", "category": 56, "points": [ [ 327.55, 472.38 ], [ 317.25, 430.15 ], [ 314.16, 388.94 ], [ 317.25, 323.02 ], [ 317.25, 265.34 ], [ ...
{ "bbox": [ [ 93.21, 64.88, 477.02000000000004, 317.1 ], [ 217.35, 283.46, 134.94000000000003, 115.01000000000005 ], [ 0.91, 218.89, 155.76, 178.40000000000003 ], [ 403.91, 351.38, 147.60999999999996,...
[ { "label": "umbrella", "category": 76, "points": [ [ 355.48, 272.32 ], [ 362.79, 275.98 ], [ 372.84, 273.24 ], [ 399.34, 268.67 ], [ 440.47, 255.87 ], [ ...
{ "bbox": [ [ 16.36, 130.43, 28.97, 73.19 ], [ 62.4, 130.74, 71.50999999999999, 100.44 ], [ 329.55, 104.4, 106.40999999999997, 122.66999999999999 ], [ 518.82, 87.71, 81.20999999999992, 129.8 ...
[ { "label": "person", "category": 49, "points": [ [ 26.02, 203.62 ], [ 21.95, 181.77 ], [ 19.92, 168.55 ], [ 16.36, 154.83 ], [ 17.89, 145.17 ], [ 22.4...
{ "bbox": [ [ 0, 169.34, 620.7, 348.5899999999999 ] ], "categories": [ 20 ], "category_names": [ "cat" ] }
[ { "label": "cat", "category": 20, "points": [ [ 330.59, 476.32 ], [ 425.05, 478.57 ], [ 453.16, 506.68 ], [ 462.15, 517.93 ], [ 620.7, 513.43 ], [ 617...
{ "bbox": [ [ 73.71, 41.97, 339.77000000000004, 351.46000000000004 ], [ 459.97, 248.03, 29.029999999999973, 26.590000000000003 ], [ 0, 253.89, 75.39, 66.49000000000001 ] ], "categories": [ 49, 62, 67 ], ...
[ { "label": "person", "category": 49, "points": [ [ 73.71, 249.61 ], [ 94.38, 243.32 ], [ 137.53, 236.13 ], [ 146.52, 225.34 ], [ 140.22, 209.16 ], [ 1...
{ "bbox": [ [ 55.78, 96.24, 93.30000000000001, 108.69000000000001 ], [ 268.99, 192.47, 12.629999999999995, 13.580000000000013 ], [ 268.24, 194.52, 11.349999999999966, 10.189999999999998 ], [ 15.4, 194.19, ...
[ { "label": "refrigerator", "category": 52, "points": [ [ 55.78, 96.24 ], [ 69.25, 98.17 ], [ 143.31, 105.86 ], [ 149.08, 195.31 ], [ 110.61, 195.31 ], [ ...
{ "bbox": [ [ 519.37, 192.93, 50.639999999999986, 23.98999999999998 ], [ 504.82, 188.33, 17.21999999999997, 22.149999999999977 ], [ 365.94, 199.5, 34.94, 22.939999999999998 ], [ 370.97, 166.6, 71.63, ...
[ { "label": "car", "category": 18, "points": [ [ 519.87, 213.75 ], [ 519.37, 209.25 ], [ 519.7, 205.09 ], [ 519.7, 202.76 ], [ 525.53, 200.09 ], [ 532....
{ "bbox": [ [ 144.54, 116.4, 460.44000000000005, 219.9 ], [ 149.64, 156.64, 490.36, 199.17000000000002 ] ], "categories": [ 20, 42 ], "category_names": [ "cat", "laptop" ] }
[ { "label": "cat", "category": 20, "points": [ [ 144.54, 140.15 ], [ 153.83, 140.15 ], [ 166.22, 146.34 ], [ 179.64, 146.34 ], [ 195.12, 146.34 ], [ 19...
{ "bbox": [ [ 219.79, 203.38, 76.33000000000001, 72.62 ], [ 1.77, 405.47, 97.06, 96.64999999999998 ], [ 352.29, 413.4, 74.70999999999998, 79.75 ], [ 56.22, 430.99, 270.99, 198.91999999999996 ...
[ { "label": "sports ball", "category": 62, "points": [ [ 289.76, 217.69 ], [ 283.4, 211.86 ], [ 273.33, 207.09 ], [ 260.08, 203.38 ], [ 247.35, 204.44 ], [ ...
{ "bbox": [ [ 81.98, 27.33, 280.45, 556.5799999999999 ], [ 2.88, 142.38, 477.12, 488.99 ] ], "categories": [ 21, 49 ], "category_names": [ "cell phone", "person" ] }
[ { "label": "cell phone", "category": 21, "points": [ [ 335.1, 562.34 ], [ 362.43, 27.33 ], [ 81.98, 28.76 ], [ 90.61, 562.34 ], [ 339.42, 583.91 ] ] }, { ...
{ "bbox": [ [ 0, 196.61, 209.4, 102.01999999999998 ], [ 296.82, 281.51, 28.069999999999993, 25.019999999999982 ], [ 478.2, 210.62, 66.95999999999998, 36.400000000000006 ], [ 300.14, 293.17, 45.8500000...
[ { "label": "bus", "category": 16, "points": [ [ 3.22, 200.91 ], [ 85.91, 199.84 ], [ 113.83, 197.69 ], [ 123.49, 196.61 ], [ 124.56, 196.61 ], [ 139.6...
{ "bbox": [ [ 106.17, 22.69, 66.60000000000001, 59.379999999999995 ], [ 284.5, 212.22, 36.20999999999998, 23.569999999999993 ], [ 283.46, 152.82, 145.74, 138.86 ], [ 79.83, 68.64, 148.47000000000003, ...
[ { "label": "baseball bat", "category": 4, "points": [ [ 113.06, 22.69 ], [ 106.17, 28.92 ], [ 107.48, 30.89 ], [ 169.16, 82.07 ], [ 172.77, 79.45 ] ] }, { ...
{ "bbox": [ [ 425.22, 76.05, 24.739999999999952, 27.25 ], [ 1, 164.46, 348.21, 269.4 ], [ 0, 145.67, 209.53, 34.920000000000016 ], [ 334.25, 37.91, 199.54999999999995, 307.31000000000006 ], ...
[ { "label": "cell phone", "category": 21, "points": [ [ 426.69, 88.42 ], [ 437, 80.17 ], [ 442.16, 76.05 ], [ 445.4, 76.64 ], [ 448.49, 80.76 ], [ 449....
{ "bbox": [ [ 16.4, 280.72, 65.74000000000001, 115.94999999999999 ], [ 533.62, 184.35, 106.38, 158.00000000000003 ], [ 105.46, 91.06, 354.63, 296.35 ], [ 90.62, 231.02, 18.69999999999999, 25.289...
[ { "label": "bicycle", "category": 9, "points": [ [ 35.57, 312.67 ], [ 23.7, 317.24 ], [ 17.31, 324.54 ], [ 17.31, 331.85 ], [ 20.96, 339.15 ], [ 19.14...
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COCO-5k

5,000 images and 36,335 annotations across 80 classes, annotated as polygon and bounding box.

View on Pictograph · Pictograph Research · Creative Commons Attribution 4.0

About

COCO-5k is a computer-vision dataset curated and annotated on Pictograph. On Pictograph you can browse every annotated image, fork it into your own workspace in one click, export it in a dozen formats, or train a model on it directly.

At a glance

Metric Value
Images 5,000
Annotations 36,335
Classes 80
Annotation types polygon, bounding box
Splits train

Dataset structure

This dataset uses the Hugging Face imagefolder layout: each split directory holds the images plus a metadata.jsonl that links every image to its annotations by file_name.

Field Description
file_name Path to the image within the split directory.
objects.bbox Bounding boxes as [x, y, width, height] (pixels).
objects.categories Integer class index per box (matches the class list below).
objects.category_names Human class name per box.
segmentation Polygon rings as [[x, y], ...] with class label.

Use it

from datasets import load_dataset

ds = load_dataset("pictograph/coco-5k")
print(ds)

Prefer a full annotation editor, one-click fork, multi-format export, and one-click training? Open this dataset on Pictograph.

Classes

Class index matches objects.categories in metadata.jsonl.

# Class Annotations
0 airplane 143
1 apple 236
2 backpack 371
3 banana 370
4 baseball bat 145
5 baseball glove 148
6 bear 71
7 bed 163
8 bench 411
9 bicycle 314
10 bird 427
11 boat 424
12 book 1,129
13 bottle 1,013
14 bowl 623
15 broccoli 312
16 bus 283
17 cake 310
18 car 1,918
19 carrot 365
20 cat 202
21 cell phone 262
22 chair 1,771
23 clock 267
24 couch 261
25 cow 372
26 cup 895
27 dining table 695
28 dog 218
29 donut 328
30 elephant 252
31 fire hydrant 101
32 fork 215
33 frisbee 115
34 giraffe 232
35 hair drier 11
36 handbag 540
37 horse 272
38 hot dog 125
39 keyboard 153
40 kite 327
41 knife 325
42 laptop 231
43 microwave 55
44 motorcycle 367
45 mouse 106
46 orange 285
47 oven 143
48 parking meter 60
49 person 10,777
50 pizza 284
51 potted plant 342
52 refrigerator 126
53 remote 283
54 sandwich 177
55 scissors 36
56 sheep 354
57 sink 225
58 skateboard 179
59 skis 241
60 snowboard 69
61 spoon 253
62 sports ball 260
63 stop sign 75
64 suitcase 299
65 surfboard 267
66 teddy bear 190
67 tennis racket 225
68 tie 252
69 toaster 9
70 toilet 179
71 toothbrush 57
72 traffic light 634
73 train 190
74 truck 414
75 tv 288
76 umbrella 407
77 vase 274
78 wine glass 341
79 zebra 266

License

Released under Creative Commons Attribution 4.0. When you use this data, please credit COCO Consortium (Lin et al., ECCV 2014).

Source and attribution

This dataset is derived from COCO 2017, created by COCO Consortium (Lin et al., ECCV 2014), originally licensed Creative Commons Attribution 4.0. We are grateful to the original authors. If you use this data, please cite the original source above.


Published from Pictograph - annotate, train, and deploy from one API.

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