image_url stringlengths 20 1.19k | image_sha256 stringlengths 64 64 | points listlengths 0 1.78k | count int64 0 1.78k ⌀ | label stringlengths 1 1.11k | collection_method stringclasses 2 values |
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... | 91 | Book | counting | |
32663d649a934a955bc4f48e66f0ced603b1d4097c3f85b43e762a26c72ac165 | [
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"... | 46 | Book on right bookshelf | counting | |
32663d649a934a955bc4f48e66f0ced603b1d4097c3f85b43e762a26c72ac165 | [
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... | 45 | Book on left bookshelf | counting | |
32663d649a934a955bc4f48e66f0ced603b1d4097c3f85b43e762a26c72ac165 | [] | 0 | Person | counting | |
32663d649a934a955bc4f48e66f0ced603b1d4097c3f85b43e762a26c72ac165 | [] | 0 | Couch | counting | |
32663d649a934a955bc4f48e66f0ced603b1d4097c3f85b43e762a26c72ac165 | [] | 0 | Seat | counting | |
66870981df4acc5498d422ef709d25044e02b2d866d0ca961d1ce7a404b3df37 | [
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"y": 15.... | 91 | Chair | counting | |
66870981df4acc5498d422ef709d25044e02b2d866d0ca961d1ce7a404b3df37 | [] | 0 | Person | counting | |
541339536a56a2f899b2ed5dcd887fb3be1d45ede38cd03ff3cbbfe7089dee33 | [
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... | 57 | Silverware | counting | |
f64acb4c3adf474c4d5b76a04231a6ccf4ff6ab8237f667eb858e9a9ab46c359 | [
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"y"... | 22 | Human | counting | |
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4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [
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... | 14 | 3 tined fork | counting | |
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... | 35 | fork handle | counting | |
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [
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4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [
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... | 40 | spoon handle | counting | |
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [
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] | 5 | ladle | counting | |
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [
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] | 5 | ladle handle | counting | |
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [
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"x": 4... | 13 | serving utensil | counting | |
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [] | 0 | plate | counting | |
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [] | 0 | napkin | counting | |
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [] | 0 | food | counting | |
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [] | 0 | glassware | counting | |
4f1ef7fc0e2187350a2855f8b695910a16257048f1d685381c4df08d6bac5a36 | [
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"x": 27.1,... | 84 | utensil | counting | |
9d122b932e93ddbecbeea444049f971dd5d653666e88eed30c84af3ddfb335b0 | [
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"x": 24.4,... | 36 | card | counting | |
9d122b932e93ddbecbeea444049f971dd5d653666e88eed30c84af3ddfb335b0 | [
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{
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9d122b932e93ddbecbeea444049f971dd5d653666e88eed30c84af3ddfb335b0 | [
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{
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be64a474455bc2c52adca2ccce026c67b859d622be5eb4b2b209888c49f139c8 | [
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... | 49 | dots | counting | |
47455a01724052b657703d48265b4de52bf89d89adf36ab4216433f2417720b8 | [
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47455a01724052b657703d48265b4de52bf89d89adf36ab4216433f2417720b8 | [
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"y": 7.59... | 15 | heads | counting | |
aa25d50f30bcf8a14cbf4f6c67082429a7323618c44972ddd2e109219d51a671 | [
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},
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},
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}
] | 5 | hands | counting | |
aa25d50f30bcf8a14cbf4f6c67082429a7323618c44972ddd2e109219d51a671 | [
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] | 5 | thumbs | counting | |
aa25d50f30bcf8a14cbf4f6c67082429a7323618c44972ddd2e109219d51a671 | [
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},
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}
] | 5 | index fingers | counting | |
aa25d50f30bcf8a14cbf4f6c67082429a7323618c44972ddd2e109219d51a671 | [
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{
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},
{
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}
] | 5 | middle fingers | counting | |
aa25d50f30bcf8a14cbf4f6c67082429a7323618c44972ddd2e109219d51a671 | [
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},
{
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},
{
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}
] | 5 | ring fingers | counting | |
aa25d50f30bcf8a14cbf4f6c67082429a7323618c44972ddd2e109219d51a671 | [
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},
{
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},
{
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}
] | 5 | pinky fingers | counting | |
aa25d50f30bcf8a14cbf4f6c67082429a7323618c44972ddd2e109219d51a671 | [] | 0 | elbows | counting | |
54b10e086280c85965092b3ebc947f48be8fdeffa0f8903ae3306d783d702099 | [
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},
{
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},
{
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... | 32 | green circles | counting | |
54b10e086280c85965092b3ebc947f48be8fdeffa0f8903ae3306d783d702099 | [
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},
{
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},
{
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"y"... | 10 | red circles | counting | |
54b10e086280c85965092b3ebc947f48be8fdeffa0f8903ae3306d783d702099 | [] | 0 | pink circles | counting | |
fbddec0e72893e0088fcc663e25bbad296b7ae6e48519187b394f931de63f45e | [
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},
{
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},
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}
] | 6 | people | counting | |
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},
{
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{
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}
] | 5 | heads | counting | |
1a282f9a555e75c60c42ccb576cc3b0ee79bd51947785c12fcacdd6d109d6295 | [
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{
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}... | 16 | slices | counting | |
d0522b6d6fe401243885f1ecf7bb875c32a2462bf176637217acd0792e94bed9 | [
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... | 15 | shoes | counting | |
d0522b6d6fe401243885f1ecf7bb875c32a2462bf176637217acd0792e94bed9 | [
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"y": 51.002
},
{
"x": 42.208,
"y": 71.819
},
{
"x": 30.458,
... | 15 | shoe holders | counting | |
http://www.travelnotesandbeyond.com/wp-content/uploads/2015/09/canstockphoto2239257-2.jpg | 3fdda516d70da478014acaa0a52ca16810ebc443f1595e3a2f4cf544be42bcee | [
{
"x": 66.35,
"y": 79.429
},
{
"x": 89.75,
"y": 77.928
},
{
"x": 81.65,
"y": 51.201
},
{
"x": 53.25,
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},
{
"x": 41.75,
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},
{
"x": 29.65,
"y": 18.619
},
{
"x": 21.55,
"y": 39.039
},
{
"x": 9.95,
"y": 16.... | 8 | dogs | counting |
http://www.travelnotesandbeyond.com/wp-content/uploads/2015/09/canstockphoto2239257-2.jpg | 3fdda516d70da478014acaa0a52ca16810ebc443f1595e3a2f4cf544be42bcee | [
{
"x": 77.95,
"y": 85.285
},
{
"x": 94.95,
"y": 91.141
},
{
"x": 48.05,
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},
{
"x": 58.75,
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},
{
"x": 23.55,
"y": 40.541
},
{
"x": 29.35,
"y": 23.574
},
{
"x": 11.35,
"y": 22.072
}
] | 7 | noses | counting |
c0a0b611f55c0bb47e8a625a2da5309364e167a081783a31412d5f2aa8a7e131 | [
{
"x": 69.932,
"y": 76.684
},
{
"x": 55.238,
"y": 79.275
},
{
"x": 37.279,
"y": 67.098
},
{
"x": 31.701,
"y": 40.155
},
{
"x": 40.952,
"y": 37.565
},
{
"x": 50.748,
"y": 13.212
},
{
"x": 63.673,
"y": 29.275
}
] | 7 | shoes | counting | |
368d4a815f184f3aa9e936df7dc8c39f84b281dc877c7ef92c59efc5d65f57f1 | [
{
"x": 75.705,
"y": 82.321
},
{
"x": 59.089,
"y": 78.658
},
{
"x": 36.587,
"y": 78.272
},
{
"x": 24.644,
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},
{
"x": 31.048,
"y": 49.932
},
{
"x": 43.337,
"y": 49.932
},
{
"x": 71.897,
"y": 49.932
},
{
"x": 59.262,
... | 14 | shoes | counting | |
368d4a815f184f3aa9e936df7dc8c39f84b281dc877c7ef92c59efc5d65f57f1 | [
{
"x": 77.909,
"y": 27.144
},
{
"x": 66.432,
"y": 27.494
},
{
"x": 54.954,
"y": 25.218
},
{
"x": 44.734,
"y": 25.042
},
{
"x": 30.269,
"y": 22.941
},
{
"x": 19.42,
"y": 23.817
}
] | 6 | shoes on top rack | counting | |
16ee998a4d000b48a86c271041838c44b2e6e82d5900bcfb0909761409182679 | [] | 0 | bees | counting | |
b2f51e92c701c2ed43dc516f52bc1d0a91dac5e631aec0f5b6262b29393ee07f | [
{
"x": 74.95,
"y": 71.5
},
{
"x": 81.35,
"y": 55
},
{
"x": 82.35,
"y": 42.3
},
{
"x": 75.45,
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},
{
"x": 59.55,
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},
{
"x": 51.85,
"y": 32.1
},
{
"x": 44.75,
"y": 32.3
},
{
"x": 37.75,
"y": 35.6
},
{
... | 14 | slices | counting | |
d2902777db5640764aec71daf8da583513ab4bd89a54397782f3d10bffd7dfcd | [
{
"x": 88.867,
"y": 64.667
},
{
"x": 79.362,
"y": 58
},
{
"x": 69.336,
"y": 42
},
{
"x": 56.836,
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},
{
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},
{
"x": 35.872,
"y": 51.667
},
{
"x": 24.154,
"y": 53
},
{
"x": 11.654,
"y": 55.667... | 8 | containers | counting | |
aa3063d921531887a767559891cfc417d566aee68335ac2812d0a3bdf6f870c6 | [
{
"x": 54.141,
"y": 67
},
{
"x": 52.109,
"y": 43.375
},
{
"x": 47.422,
"y": 30.875
},
{
"x": 51.484,
"y": 11
}
] | 4 | signs | counting | |
8beb02d0d93f5c7c64579023fd6df237e5465a166c2760e23a320f3ee32259e8 | [
{
"x": 86.75,
"y": 81.019
},
{
"x": 62.65,
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},
{
"x": 38.55,
"y": 78.056
},
{
"x": 12.85,
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},
{
"x": 11.05,
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},
{
"x": 37.75,
"y": 57.222
},
{
"x": 62.55,
"y": 57.963
},
{
"x": 88.65,
"y": 55... | 16 | icons | counting | |
7ab11cd66485bcd86cfd9d47a58a1671ec9248c72e193efd11aa45952288c04f | [
{
"x": 7.75,
"y": 92.386
},
{
"x": 7.417,
"y": 85.025
},
{
"x": 5.417,
"y": 70.558
},
{
"x": 5.917,
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},
{
"x": 6.083,
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},
{
"x": 4.917,
"y": 41.117
},
{
"x": 5.417,
"y": 30.711
},
{
"x": 4.583,
"y": 20.8... | 54 | hands | counting | |
7ab11cd66485bcd86cfd9d47a58a1671ec9248c72e193efd11aa45952288c04f | [] | 0 | shoulders | counting | |
http://img.pconline.com.cn/images/upload/upc/tx/itbbs/2006/08/c22/213199207_1591624579024.jpg | f6970531bb5477bed066fae66b8e1aecc4c57ebc524da9d1d9d23e77d73de0a5 | [
{
"x": 39.208,
"y": 56.625
},
{
"x": 57.458,
"y": 54.125
},
{
"x": 70.042,
"y": 53.875
},
{
"x": 34.458,
"y": 34.75
}
] | 4 | birds | counting |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 6.25,
"y": 24.205
},
{
"x": 13.636,
"y": 32.841
},
{
"x": 24.205,
"y": 40.341
},
{
"x": 36.591,
"y": 56.705
},
{
"x": 57.955,
"y": 56.023
},
{
"x": 71.477,
"y": 36.477
},
{
"x": 86.818,
"y": 29.432
},
{
"x": 95.227,
"... | 8 | Man | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 15.114,
"y": 19.659
},
{
"x": 24.659,
"y": 21.932
},
{
"x": 34.545,
"y": 24.432
},
{
"x": 44.886,
"y": 26.705
},
{
"x": 57.045,
"y": 23.75
},
{
"x": 67.614,
"y": 22.614
},
{
"x": 78.864,
"y": 21.932
},
{
"x": 89.432,
... | 9 | White Line | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 2.841,
"y": 89.205
},
{
"x": 20.795,
"y": 88.977
},
{
"x": 28.636,
"y": 90.341
},
{
"x": 45.455,
"y": 90.568
},
{
"x": 65.114,
"y": 90.341
},
{
"x": 80.341,
"y": 92.159
},
{
"x": 98.295,
"y": 92.386
}
] | 7 | Numbers | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 2.159,
"y": 58.977
},
{
"x": 9.659,
"y": 59.205
},
{
"x": 29.432,
"y": 60.114
},
{
"x": 44.205,
"y": 59.659
},
{
"x": 59.659,
"y": 60.568
},
{
"x": 67.727,
"y": 60.114
},
{
"x": 85.568,
"y": 61.477
},
{
"x": 97.159,
"... | 23 | Blue Line | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 4.545,
"y": 20.568
},
{
"x": 35.341,
"y": 53.75
},
{
"x": 73.295,
"y": 33.523
},
{
"x": 95.227,
"y": 9.432
}
] | 4 | Blue Shirt | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 14.318,
"y": 34.432
},
{
"x": 24.205,
"y": 39.205
},
{
"x": 34.659,
"y": 55.568
},
{
"x": 57.5,
"y": 53.75
},
{
"x": 71.932,
"y": 36.25
},
{
"x": 96.25,
"y": 10.795
}
] | 6 | Names Of Country | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 47.727,
"y": 9.659
},
{
"x": 46.023,
"y": 4.886
},
{
"x": 63.523,
"y": 12.614
},
{
"x": 66.364,
"y": 4.886
},
{
"x": 77.5,
"y": 6.705
}
] | 5 | White Circles | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 5.114,
"y": 8.977
},
{
"x": 14.432,
"y": 26.023
},
{
"x": 23.977,
"y": 29.205
},
{
"x": 35.568,
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},
{
"x": 57.386,
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},
{
"x": 71.591,
"y": 26.023
},
{
"x": 86.364,
"y": 14.432
},
{
"x": 95.341,
"... | 8 | Hair | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 4.659,
"y": 12.386
},
{
"x": 13.523,
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},
{
"x": 23.409,
"y": 32.386
},
{
"x": 35.795,
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},
{
"x": 58.068,
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},
{
"x": 71.25,
"y": 28.068
},
{
"x": 86.364,
"y": 16.477
},
{
"x": 95.909,
"y... | 8 | Faces | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 3.068,
"y": 22.159
},
{
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},
{
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},
{
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},
{
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},
{
"x": 26.932,
"y": 42.614
},
{
"x": 30.455,
"y": 53.523
},
{
"x": 40,
"y": ... | 16 | Arms | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 2.386,
"y": 24.886
},
{
"x": 8.295,
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},
{
"x": 10.795,
"y": 39.659
},
{
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},
{
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},
{
"x": 25.114,
"y": 43.977
},
{
"x": 28.75,
"y": 52.159
},
{
"x": 38.295,
"y... | 16 | Hands | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 5.795,
"y": 23.523
},
{
"x": 14.091,
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},
{
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"y": 41.705
},
{
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},
{
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},
{
"x": 71.705,
"y": 38.295
},
{
"x": 85.909,
"y": 28.295
},
{
"x": 95.909,
... | 8 | Torso | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 4.773,
"y": 36.023
},
{
"x": 7.159,
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},
{
"x": 13.182,
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},
{
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},
{
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},
{
"x": 25.682,
"y": 59.205
},
{
"x": 33.977,
"y": 78.068
},
{
"x": 37.841,
"y... | 16 | Knees | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 5.114,
"y": 40.795
},
{
"x": 7.273,
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},
{
"x": 13.523,
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},
{
"x": 15.341,
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},
{
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},
{
"x": 34.659,
"y": 75.114
},
{
"x": 37.614,
"y": 74.886
},
{
"x": 26.364,
"y... | 16 | Legs | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [
{
"x": 4.886,
"y": 47.386
},
{
"x": 14.318,
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},
{
"x": 23.523,
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},
{
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},
{
"x": 57.273,
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},
{
"x": 71.591,
"y": 66.477
},
{
"x": 87.841,
"y": 52.841
},
{
"x": 84.318,
"... | 9 | Shoes | counting | |
207c9e30b6cdde26513489ee234a1cd5c60d17a2a157d49a1026c9ac044f1eea | [] | 0 | Women | counting | |
http://remodelerplatform.blob.core.windows.net/wwwmywindowworkscom/blog-images/28e8b520-30c7-4d01-b0e7-fa76469002da.jpg | e9775b029b4080d064a2c3e178b18f5e5358ab2f050d40d170f811ee8f8a8e5e | [
{
"x": 17.625,
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},
{
"x": 18.625,
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},
{
"x": 19.75,
"y": 35.122
},
{
"x": 17.625,
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},
{
"x": 18.875,
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},
{
"x": 19.75,
"y": 37.571
},
{
"x": 17.375,
"y": 40.395
},
{
"x": 18.625,
"... | 165 | Windows | counting |
http://remodelerplatform.blob.core.windows.net/wwwmywindowworkscom/blog-images/28e8b520-30c7-4d01-b0e7-fa76469002da.jpg | e9775b029b4080d064a2c3e178b18f5e5358ab2f050d40d170f811ee8f8a8e5e | [
{
"x": 9.25,
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},
{
"x": 15,
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},
{
"x": 42.125,
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},
{
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},
{
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},
{
"x": 57.375,
"y": 80.508
},
{
"x": 63.375,
"y": 80.132
},
{
"x": 68.625,
"y": 79.0... | 11 | Shrubs | counting |
http://remodelerplatform.blob.core.windows.net/wwwmywindowworkscom/blog-images/28e8b520-30c7-4d01-b0e7-fa76469002da.jpg | e9775b029b4080d064a2c3e178b18f5e5358ab2f050d40d170f811ee8f8a8e5e | [
{
"x": 95.125,
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},
{
"x": 83.625,
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},
{
"x": 70.25,
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},
{
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},
{
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},
{
"x": 89.125,
"y": 10.64
},
{
"x": 98.25,
"y": 10.452
},
{
"x": 31.75,
"y": 3.... | 12 | Trees | counting |
http://remodelerplatform.blob.core.windows.net/wwwmywindowworkscom/blog-images/28e8b520-30c7-4d01-b0e7-fa76469002da.jpg | e9775b029b4080d064a2c3e178b18f5e5358ab2f050d40d170f811ee8f8a8e5e | [] | 0 | People | counting |
http://remodelerplatform.blob.core.windows.net/wwwmywindowworkscom/blog-images/28e8b520-30c7-4d01-b0e7-fa76469002da.jpg | e9775b029b4080d064a2c3e178b18f5e5358ab2f050d40d170f811ee8f8a8e5e | [] | 0 | Animals | counting |
http://remodelerplatform.blob.core.windows.net/wwwmywindowworkscom/blog-images/28e8b520-30c7-4d01-b0e7-fa76469002da.jpg | e9775b029b4080d064a2c3e178b18f5e5358ab2f050d40d170f811ee8f8a8e5e | [
{
"x": 35.625,
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},
{
"x": 36,
"y": 61.959
},
{
"x": 36.125,
"y": 63.653
},
{
"x": 36.625,
"y": 64.972
}
] | 4 | Numbers | counting |
44d3b9554b9f3948d5d690f1481340b1e1870ced729be4ad17ec7a845196a843 | [
{
"x": 51.375,
"y": 24.625
},
{
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},
{
"x": 50.5,
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},
{
"x": 50.875,
"y": 65.5
},
{
"x": 51.625,
"y": 72.5
},
{
"x": 51,
"y": 81.75
}
] | 6 | Arrows | counting | |
04ebd6e9e16ad01cabb476491949040e7648a66d4be297075cd20786dc95216a | [
{
"x": 86.958,
"y": 76.723
},
{
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},
{
"x": 35.958,
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},
{
"x": 16.208,
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},
{
"x": 20.458,
"y": 89.165
},
{
"x": 42.458,
"y": 96.57
},
{
"x": 89.625,
"y": 34.955
},
{
"x": 66.125,
... | 13 | Pictures | counting | |
04ebd6e9e16ad01cabb476491949040e7648a66d4be297075cd20786dc95216a | [
{
"x": 75.958,
"y": 81.315
},
{
"x": 64.708,
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},
{
"x": 57.542,
"y": 95.533
},
{
"x": 51.292,
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},
{
"x": 26.292,
"y": 90.794
},
{
"x": 80.208,
"y": 48.285
},
{
"x": 75.958,
"y": 47.1
},
{
"x": 49.375,
"y... | 12 | Frames | counting | |
04ebd6e9e16ad01cabb476491949040e7648a66d4be297075cd20786dc95216a | [] | 0 | Images in bottom row | counting | |
3d8f2d7267bf960a66188ec4eb387e4bbf3bde10d7a214d6cb131d7bfc141e80 | [
{
"x": 89.624,
"y": 69.261
},
{
"x": 90.827,
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},
{
"x": 91.128,
"y": 60.311
},
{
"x": 90.827,
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},
{
"x": 91.128,
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},
{
"x": 91.579,
"y": 46.304
},
{
"x": 90.827,
"y": 41.829
},
{
"x": 90.677,
... | 12 | Blue background lines | counting | |
3d8f2d7267bf960a66188ec4eb387e4bbf3bde10d7a214d6cb131d7bfc141e80 | [
{
"x": 91.533,
"y": 17.014
},
{
"x": 90.728,
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... | 12 | White background lines | counting | |
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] | 4 | Folders | counting | |
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"y... | 28 | Applications | counting | |
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... | 30 | Cyclists | counting | |
51aafc000141667f1abf8e408cc3f310cf1587b733638e019079a3e092577231 | [
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... | 26 | Helmets | counting | |
51aafc000141667f1abf8e408cc3f310cf1587b733638e019079a3e092577231 | [] | 0 | Cyclists at rear of race | counting | |
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] | 4 | Pages | counting | |
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... | 12 | Applications | counting | |
24050bce56287af0e963f4cb7b2032885ea89ed878ed578e11cd54c4ab31a7ff | [
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... | 12 | Horizontal lines | counting | |
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24050bce56287af0e963f4cb7b2032885ea89ed878ed578e11cd54c4ab31a7ff | [] | 0 | Pages after Page 4 | counting | |
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... | 9 | Folders | counting | |
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... | 12 | Dates modified | counting | |
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"... | 53 | Cards | counting |
End of preview. Expand
in Data Studio
PixMo-Points
PixMo-Points is a dataset of images paired with referring expressions and points marking the locations the referring expression refers to in the image. It was collected using human annotators and contains a diverse range of points and expressions, with many high-frequency (10+) expressions.
PixMo-Points is a part of the PixMo dataset collection and was used to provide the pointing capabilities of the Molmo family of models
Quick links:
Loading
data = datasets.load_dataset("allenai/pixmo-points", split="train")
Data Format
Images are stored as URLs that will need to be downloaded separately. Note URLs can be repeated in the data.
The points field contains the x, y coordinates specified in pixels.
The label field contains the string name of what is being pointed at, this can be a simple object name or a more complex referring expression.
The collection_method field specifies whether the image was chosen to target high-frequency counting ("counting") or general pointing ("pointing").
Image Checking
Image hashes are included to support double-checking that the downloaded image matches the annotated image. It can be checked like this:
from hashlib import sha256
import requests
example = data[0]
image_bytes = requests.get(example["image_url"]).content
byte_hash = sha256(image_bytes).hexdigest()
assert byte_hash == example["image_sha256"]
License
This dataset is licensed under ODC-BY-1.0. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines.
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