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"x": 67.522,
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},
{
"x": 69.215,
... | 31 | skis | counting | |
16bb92aae8d1edd22d2b73abc43d71769bc7e3987b7f4d617757eee91099d3a0 | [
{
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},
{
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},
{
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... | 55 | pink lines | counting | |
16bb92aae8d1edd22d2b73abc43d71769bc7e3987b7f4d617757eee91099d3a0 | [
{
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},
{
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},
{
"x": 2.205,
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e8858371d937aab9eb0ebd173c17acc8d1de45b6ab5cbe84a40ddb910527e2b7 | [
{
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},
{
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{
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... | 84 | sprinkles on bottom of cake | counting | |
e8858371d937aab9eb0ebd173c17acc8d1de45b6ab5cbe84a40ddb910527e2b7 | [
{
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},
{
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{
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"y": 98.... | 64 | round sprinkles on table | counting | |
48e6283e9d2d1f5089a04d6d76827e326fa859275723e7dd7a52bed4c80634a2 | [] | 0 | peanut butter filled ritz crackers | counting | |
a463b3f2cb64dae3928d25233a4e468af80f57d2a482178202d2f24c180adb27 | [] | 0 | green apples | counting | |
e52fbb97af2fa6703bfebeaa677dc6e590661f7fb849bd8110481171d47d8b30 | [] | 0 | sewing needle | counting | |
49aee42b9fcb4198f1347f59831ad9779100c271a6be08c5aa666df0757c6c91 | [
{
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},
{
"x": 36.414,
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},
{
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... | 60 | 60 black lines | counting | |
49aee42b9fcb4198f1347f59831ad9779100c271a6be08c5aa666df0757c6c91 | [
{
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},
{
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},
{
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... | 12 | 12 groups of 5 black lines | counting | |
49aee42b9fcb4198f1347f59831ad9779100c271a6be08c5aa666df0757c6c91 | [] | 0 | what's being counted | counting | |
ce644dd857ecbecb93f99a80ebdd434545bef35d7a0caebf060a9942ab9e040f | [
{
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},
{
"x": 76.292,
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},
{
"x": 89.875,
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... | 31 | 31 pepperoni's on a pizza | counting | |
ce644dd857ecbecb93f99a80ebdd434545bef35d7a0caebf060a9942ab9e040f | [
{
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},
{
"x": 38.292,
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},
{
"x": 5.208,
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}
] | 6 | 6 slices of pizza | counting | |
ce644dd857ecbecb93f99a80ebdd434545bef35d7a0caebf060a9942ab9e040f | [] | 0 | person eating pizza | counting | |
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},
{
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},
{
"x": 8.708,
"y": 5... | 50 | 50 bottles of water | counting | |
809537a1289f750bbb6529fff934de71e2446cbd0e39741497083f10c653fbae | [] | 0 | person drinking water | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [
{
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},
{
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},
{
"x": 74.787,
"y":... | 36 | 36 plates of food | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [
{
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"y": 10.722
},
{
"x": 5.483,
"y": 11.353
},
{
"x": 2.935,
"y":... | 9 | 8 red chili peppers | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [
{
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},
{
"x": 98.768,
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},
{
"x": 98.489,
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}
] | 6 | 6 slices of cucumber | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [
{
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},
{
"x": 25.035,
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},
{
"x": 7.891,
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}
] | 4 | 4 sunny side up eggs | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [
{
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},
{
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},
{
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... | 11 | 11 sides of rice on plates | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [
{
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},
{
"x": 26.555,
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},
{
"x": 39.69,
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}
] | 7 | 7 tomatoes on plates | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [
{
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},
{
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},
{
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"... | 33 | 33 sprigs of green herb on plates | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [
{
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},
{
"x": 87.465,
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},
{
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}
] | 4 | 4 chicken wings on plate | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [
{
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},
{
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},
{
"x": 21.828,
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}
] | 6 | 6 sushi rolls | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [
{
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},
{
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},
{
"x": 90.119,
"y... | 15 | 15 sides of salads on plates | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [
{
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},
{
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},
{
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"... | 12 | 11 shrimps on plate | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [] | 0 | person eating food | counting | |
d0be7139fd6c16a2b16dd652a021b1e905606b5b750131b238e34648ae3923e7 | [
{
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},
{
"x": 47.527,
"y": 40.321
},
{
"x": 46.924,
"y": 38.171
}
] | 7 | 7 slices of chicken on plate | counting | |
http://passionatepennypincher.com/wp-content/uploads/2014/10/IMG_4541-0.jpg | c0280575810d6f066acb7428b8718f7704c6af0b5db053d888669346f882450c | [
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{
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},
{
"x": 84.912,
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},
{
"x": 81.787,
... | 29 | 29 boxes of rice krispies treats | counting |
http://passionatepennypincher.com/wp-content/uploads/2014/10/IMG_4541-0.jpg | c0280575810d6f066acb7428b8718f7704c6af0b5db053d888669346f882450c | [
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},
{
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},
{
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"... | 15 | 15 yellow bags | counting |
648bae334cb79365485a565ae206a7b3dbcf304200c6eb5ffc9b086b93d4bc14 | [
{
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},
{
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},
{
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648bae334cb79365485a565ae206a7b3dbcf304200c6eb5ffc9b086b93d4bc14 | [] | 0 | people | counting | |
5501cee528296299fa26d52a6f8c8b7aeea512846f4832bc4f529188053557bd | [
{
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},
{
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},
{
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... | 113 | signs | counting | |
5501cee528296299fa26d52a6f8c8b7aeea512846f4832bc4f529188053557bd | [] | 0 | sign poles | counting | |
5501cee528296299fa26d52a6f8c8b7aeea512846f4832bc4f529188053557bd | [
{
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},
{
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},
{
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5501cee528296299fa26d52a6f8c8b7aeea512846f4832bc4f529188053557bd | [
{
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},
{
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},
{
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5501cee528296299fa26d52a6f8c8b7aeea512846f4832bc4f529188053557bd | [
{
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},
{
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},
{
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... | 54 | circle signs | counting | |
5501cee528296299fa26d52a6f8c8b7aeea512846f4832bc4f529188053557bd | [
{
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},
{
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},
{
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"y"... | 29 | blue signs with white symbols | counting | |
9bb760d08e858d3646857907a784b5d3df2b4be84b62e8fe92075966b4b0a2ad | [] | 0 | bottom of trashcan | counting | |
http://teczowy-ogrod.pl/wp-content/uploads/2018/01/teczowy-ogrod-12.jpg | c357bcb93c06653bcf2e532f13f8f4c0dc55e13a468cc4fad67b308e2cb29062 | [] | 0 | seeds | counting |
http://teczowy-ogrod.pl/wp-content/uploads/2018/01/teczowy-ogrod-12.jpg | c357bcb93c06653bcf2e532f13f8f4c0dc55e13a468cc4fad67b308e2cb29062 | [
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},
{
"x": 36.574,
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},
{
"x": 50.763,
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http://teczowy-ogrod.pl/wp-content/uploads/2018/01/teczowy-ogrod-12.jpg | c357bcb93c06653bcf2e532f13f8f4c0dc55e13a468cc4fad67b308e2cb29062 | [
{
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{
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},
{
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},
{
"x": 73.039,
"y... | 11 | fruit plants | counting |
http://teczowy-ogrod.pl/wp-content/uploads/2018/01/teczowy-ogrod-12.jpg | c357bcb93c06653bcf2e532f13f8f4c0dc55e13a468cc4fad67b308e2cb29062 | [
{
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},
{
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},
{
"x": 90.588,
"y": 54.813
}
] | 4 | rows | counting |
http://teczowy-ogrod.pl/wp-content/uploads/2018/01/teczowy-ogrod-12.jpg | c357bcb93c06653bcf2e532f13f8f4c0dc55e13a468cc4fad67b308e2cb29062 | [
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},
{
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},
{
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}
] | 7 | clouds | counting |
c70d1618a1bf8219b96f5e183a4a93b683ba3786aed2e077771dc83998bf1b93 | [
{
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"y": 6.521
},
{
"x": 30.924,
"y": 6.908
},
{
"x": 33.986,
"y": 7.424
},
{
"x": 28.169,
"y": 7.939
},
{
"x": 30.414,
"y": 7.875
},
{
"x": 33.782,
"y": 8.713
},
{
"x": 28.169,
"y": 9.1
},
{
"x": 30.21,
"y": 9.48... | 588 | Room windows | counting | |
c70d1618a1bf8219b96f5e183a4a93b683ba3786aed2e077771dc83998bf1b93 | [] | 0 | Doors | counting | |
c70d1618a1bf8219b96f5e183a4a93b683ba3786aed2e077771dc83998bf1b93 | [] | 0 | People | counting | |
c70d1618a1bf8219b96f5e183a4a93b683ba3786aed2e077771dc83998bf1b93 | [] | 0 | Street | counting | |
c70d1618a1bf8219b96f5e183a4a93b683ba3786aed2e077771dc83998bf1b93 | [] | 0 | The sun | counting | |
c51a5a53146d6aa470da9323eacb4e7d307b95f92d487e685ddae4cd0ac3ddc4 | [
{
"x": 36.334,
"y": 15.372
},
{
"x": 60.012,
"y": 26.877
},
{
"x": 36.538,
"y": 40.605
},
{
"x": 59.705,
"y": 53.077
},
{
"x": 36.946,
"y": 66.129
}
] | 5 | Cities | counting | |
c51a5a53146d6aa470da9323eacb4e7d307b95f92d487e685ddae4cd0ac3ddc4 | [
{
"x": 47.56,
"y": 64.412
},
{
"x": 46.642,
"y": 41.112
},
{
"x": 52.765,
"y": 52.713
},
{
"x": 52.765,
"y": 28.93
},
{
"x": 33.374,
"y": 18.585
}
] | 5 | Green | counting |
Subsets and Splits
<think>
Okay, let me figure this out.
Provides a basic random sample of the training data but offers no meaningful analysis or insights into the dataset's patterns or characteristics.