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d25256288ce7077935e769089a567a986040b05c22518921f09cce89bb497451 | [
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d25256288ce7077935e769089a567a986040b05c22518921f09cce89bb497451 | [
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d25256288ce7077935e769089a567a986040b05c22518921f09cce89bb497451 | [
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"y"... | 8 | Oranges loose | counting | |
d25256288ce7077935e769089a567a986040b05c22518921f09cce89bb497451 | [] | 0 | Strawberries | counting | |
d25256288ce7077935e769089a567a986040b05c22518921f09cce89bb497451 | [] | 0 | Vegetables | counting | |
9e9797d0f5152baaf9960b63c1240585a08124115e7ecb7a3dde1172aaac4933 | [
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... | 8 | Starting blocks (runners) | counting | |
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"y... | 9 | Track lanes | counting | |
9e9797d0f5152baaf9960b63c1240585a08124115e7ecb7a3dde1172aaac4933 | [] | 0 | A runner in the lead | counting | |
d32e53eada3b7f206f9f627008d7679c1350bfd6de5e8f9a12ffa8dd6fd7135a | [
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... | 24 | Slices of pepperoni on a pizza | counting | |
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"... | 10 | Slices of pizza | counting | |
383ff0602f9c089986b6f8b518634ba6d1456cf9e0bf37c6299197a052584071 | [
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] | 6 | clocks | counting | |
383ff0602f9c089986b6f8b518634ba6d1456cf9e0bf37c6299197a052584071 | [] | 0 | digital Clocks | counting | |
c54723da9f4290f957df1258bb74be5d96e06359a1e37eac44142dd76de5fc31 | [
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c54723da9f4290f957df1258bb74be5d96e06359a1e37eac44142dd76de5fc31 | [
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"x": 33.7,... | 50 | xbox 360 games | counting | |
c54723da9f4290f957df1258bb74be5d96e06359a1e37eac44142dd76de5fc31 | [] | 0 | controllers | counting | |
c54723da9f4290f957df1258bb74be5d96e06359a1e37eac44142dd76de5fc31 | [] | 0 | consule | counting | |
1bbb286006a940f3b5c60ade9eaf98a7d5b28b3a61e540f9b306a4ec888d88db | [
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},
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},
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... | 21 | Yellow Bananas | counting | |
1bbb286006a940f3b5c60ade9eaf98a7d5b28b3a61e540f9b306a4ec888d88db | [
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{
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},
{
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}
] | 7 | Chiquita Labels | counting | |
1bbb286006a940f3b5c60ade9eaf98a7d5b28b3a61e540f9b306a4ec888d88db | [] | 0 | apples | counting | |
24a521c520d14488cd0bfc469c26da32647e7c7c4459ad1d9783701579c5ce5e | [
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},
{
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},
{
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... | 20 | Poloriods | counting | |
24a521c520d14488cd0bfc469c26da32647e7c7c4459ad1d9783701579c5ce5e | [
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},
{
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},
{
"x": 50,
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}
] | 8 | men | counting | |
24a521c520d14488cd0bfc469c26da32647e7c7c4459ad1d9783701579c5ce5e | [
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... | 15 | women | counting | |
24a521c520d14488cd0bfc469c26da32647e7c7c4459ad1d9783701579c5ce5e | [] | 0 | camera | counting | |
281ec2e8def0c17e1f40087f663feab852d506f2ed57714b01c0e908e31b177c | [
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},
{
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},
{
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}
] | 4 | Water Hole | counting | |
281ec2e8def0c17e1f40087f663feab852d506f2ed57714b01c0e908e31b177c | [
{
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{
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},
{
"x": 35.3,
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}
] | 4 | zebra | counting | |
281ec2e8def0c17e1f40087f663feab852d506f2ed57714b01c0e908e31b177c | [
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},
{
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{
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},
{
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281ec2e8def0c17e1f40087f663feab852d506f2ed57714b01c0e908e31b177c | [
{
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},
{
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},
{
"x": 31.3,
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}
] | 8 | ears | counting | |
212b4a518e2184fdba79c03ca76437139522c5680938e15054775fe40c9ad528 | [
{
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},
{
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},
{
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... | 16 | Nativity | counting | |
212b4a518e2184fdba79c03ca76437139522c5680938e15054775fe40c9ad528 | [
{
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},
{
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},
{
"x": 89.5,
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}
] | 4 | Lambs | counting | |
212b4a518e2184fdba79c03ca76437139522c5680938e15054775fe40c9ad528 | [
{
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},
{
"x": 96.3,
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},
{
"x": 88.6,
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}
] | 6 | Animals | counting | |
212b4a518e2184fdba79c03ca76437139522c5680938e15054775fe40c9ad528 | [
{
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},
{
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},
{
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},
{
"x": 90... | 9 | People | counting | |
212b4a518e2184fdba79c03ca76437139522c5680938e15054775fe40c9ad528 | [] | 0 | Cross | counting | |
cd60bc1be9e7cb50c25a758a51920c04a428f0ea151aea074535c2a957501306 | [
{
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{
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},
{
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},
{
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... | 13 | Trash Day | counting | |
cd60bc1be9e7cb50c25a758a51920c04a428f0ea151aea074535c2a957501306 | [
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},
{
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},
{
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},
{
"x": 1... | 14 | trash cans | counting | |
cd60bc1be9e7cb50c25a758a51920c04a428f0ea151aea074535c2a957501306 | [] | 0 | trash bags | counting | |
d3bfa114d319be49d4b84b5470e675035646b39a8dfc579854c6bcfea2e9a03d | [
{
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},
{
"x": 90.5,
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},
{
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},
{
"x": 76.5... | 13 | Breakfast Cerial | counting | |
d3bfa114d319be49d4b84b5470e675035646b39a8dfc579854c6bcfea2e9a03d | [
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},
{
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},
{
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}
] | 4 | General Mills | counting | |
d3bfa114d319be49d4b84b5470e675035646b39a8dfc579854c6bcfea2e9a03d | [] | 0 | spoon | counting | |
9f2a46e3cf3dc85f3e2b67fee92a2fb7aae0175b43dda3afdf82147e876b7ffc | [
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{
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},
{
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},
{
"x": 77.7,
"y": 6.... | 60 | Childrens Movies | counting | |
9f2a46e3cf3dc85f3e2b67fee92a2fb7aae0175b43dda3afdf82147e876b7ffc | [] | 0 | tv | counting | |
3f6e441fd08d017729dda530d807f83c1aff436c377dae3092554e070983a9d5 | [
{
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{
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{
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{
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{
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{
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},
{
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},
{
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},
{
"x": 17... | 28 | Hot Air Balloon Festival | counting | |
3f6e441fd08d017729dda530d807f83c1aff436c377dae3092554e070983a9d5 | [] | 0 | Blimp | counting | |
149260b66453303b697648d481725dc12cd3fb7409ded31dfee85cac8de1ec52 | [
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{
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},
{
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},
{
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... | 15 | football player | counting | |
149260b66453303b697648d481725dc12cd3fb7409ded31dfee85cac8de1ec52 | [
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{
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{
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},
{
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},
{
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... | 14 | football helmet | counting | |
149260b66453303b697648d481725dc12cd3fb7409ded31dfee85cac8de1ec52 | [] | 0 | watermelon | counting | |
4a097525060396f1fc60a4cb3fe6dabecf74cebb7c5a4b8a030b2e11e8361c69 | [
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},
{
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},
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{
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},
{
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},
{
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},
{
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"y... | 126 | automobile | counting | |
4a097525060396f1fc60a4cb3fe6dabecf74cebb7c5a4b8a030b2e11e8361c69 | [] | 0 | blue hot air balloon | counting | |
439f1b530a6a804061884acffaba0edae63fceb9dd1555c054a402606c56b321 | [
{
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},
{
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},
{
"x": 58.405,
... | 12 | puppy face | counting | |
439f1b530a6a804061884acffaba0edae63fceb9dd1555c054a402606c56b321 | [
{
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"x": 59.842,
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},
{
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},
{
"x": 23.348,
"... | 24 | puppy eye | counting | |
439f1b530a6a804061884acffaba0edae63fceb9dd1555c054a402606c56b321 | [
{
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},
{
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},
{
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... | 12 | black puppy nose | counting | |
439f1b530a6a804061884acffaba0edae63fceb9dd1555c054a402606c56b321 | [] | 0 | kitten nose | counting | |
a3f3c6ac979c437b7a47b9854218a35f70ccf9e6aa75b7ffbebdbc8c5564b265 | [
{
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},
{
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},
{
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"y": 13.... | 10 | USA flag | counting | |
a3f3c6ac979c437b7a47b9854218a35f70ccf9e6aa75b7ffbebdbc8c5564b265 | [
{
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},
{
"x": 24.05,
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},
{
"x": 87.35,
"y": 69.7... | 70 | red stripe | counting | |
a3f3c6ac979c437b7a47b9854218a35f70ccf9e6aa75b7ffbebdbc8c5564b265 | [] | 0 | purple stripe | counting | |
a3f3c6ac979c437b7a47b9854218a35f70ccf9e6aa75b7ffbebdbc8c5564b265 | [
{
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},
{
"x": 15.05,
"y": 7.593
},
{
"x": 13.05,
"y": 7.593
},
... | 498 | white star | counting | |
addea00bbbf92b75b6caab19283aefa56563794852d2adc3ad84e91f655bf87c | [] | 0 | All milk items | counting | |
addea00bbbf92b75b6caab19283aefa56563794852d2adc3ad84e91f655bf87c | [] | 0 | Full SHelves | counting | |
addea00bbbf92b75b6caab19283aefa56563794852d2adc3ad84e91f655bf87c | [] | 0 | Stocked Area | counting | |
addea00bbbf92b75b6caab19283aefa56563794852d2adc3ad84e91f655bf87c | [
{
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{
"x": 24.9,
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},
{
"x": 34.7,
"y": 89.2
},
{
"x": 30.... | 43 | Milk Gallon | counting | |
addea00bbbf92b75b6caab19283aefa56563794852d2adc3ad84e91f655bf87c | [
{
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{
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},
{
"x": 86.4,
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},
{
"x": 9... | 50 | Milk Product half gallon | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [] | 0 | WHole Desktop | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [] | 0 | Other Files | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [
{
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{
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{
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},
{
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"y"... | 15 | Intel | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [
{
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},
{
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},
{
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}
] | 6 | root | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [
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},
{
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},
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}
] | 8 | paulh | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [
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{
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},
{
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}
] | 4 | 0.0 | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [
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},
{
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},
{
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},
{
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"... | 28 | MB | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [
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... | 16 | Process ID | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [
{
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{
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{
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},
{
"x": 23.2,... | 16 | Process Name | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [
{
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},
{
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{
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"y": ... | 16 | User | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [
{
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{
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},
{
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},
{
"x": 5... | 16 | CPU | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [
{
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{
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{
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},
{
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},
{
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"y": ... | 16 | Real Memory | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [
{
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{
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},
{
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},
{
"x": 80.... | 16 | Virtual Memory | counting | |
502921477ddf61431987cd44bd0647af76f871138f21af5eef55817f338f4f15 | [
{
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{
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{
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},
{
"x": 8... | 16 | Kind | counting | |
a0076df8d8710c4764d7a6b08ab89ff2713d5d052f766a66c3171d607039089f | [
{
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{
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},
{
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},
{
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... | 17 | pepper | counting | |
a0076df8d8710c4764d7a6b08ab89ff2713d5d052f766a66c3171d607039089f | [
{
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},
{
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},
{
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},
{
"x": 65.... | 11 | stem | counting | |
a0076df8d8710c4764d7a6b08ab89ff2713d5d052f766a66c3171d607039089f | [
{
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},
{
"x": 66.9,
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},
{
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},
{
"x": 15.... | 9 | Red Pepper | counting | |
a0076df8d8710c4764d7a6b08ab89ff2713d5d052f766a66c3171d607039089f | [
{
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{
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},
{
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},
{
"x": 76.5,
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}
] | 5 | Yellow Pepper | counting | |
a0076df8d8710c4764d7a6b08ab89ff2713d5d052f766a66c3171d607039089f | [
{
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},
{
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},
{
"x": 33.1,
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}
] | 4 | Orange Pepper | counting | |
https://img.kleinanzeigen.de/api/v1/prod-ads/images/6c/6c80037b-b613-49ff-a077-1411f13fd575?rule=$_59.JPG | 5591dae01f5af146625fb7ca0e088f59cda8e0a7c10cd546991a25962a492322 | [
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{
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},
{
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},
{
"x": 46.3,
... | 39 | Silverware | counting |
069b4666a33528991c96890c87221062664bd3e8fa11170653c1c26fe7be8fe9 | [
{
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{
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{
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{
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},
{
"x": 13.204,
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},
{
"x": 12.661,
"y":... | 263 | icons | counting | |
069b4666a33528991c96890c87221062664bd3e8fa11170653c1c26fe7be8fe9 | [] | 0 | icons in all yellow | counting | |
fac1eb1a507b2efe88e97328044213d4625ace991f903fa06d661f66860dee23 | [] | 0 | red seats | counting | |
fac1eb1a507b2efe88e97328044213d4625ace991f903fa06d661f66860dee23 | [] | 0 | spectators sitting in seats | counting | |
fac1eb1a507b2efe88e97328044213d4625ace991f903fa06d661f66860dee23 | [
{
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},
{
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{
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{
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{
"x": 74.099,
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},
{
"x": 89.265,
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},
{
"x": 99.515,
... | 122 | blue seats | counting | |
fac1eb1a507b2efe88e97328044213d4625ace991f903fa06d661f66860dee23 | [] | 0 | scoreboard | counting | |
4c1b62f37f8a4ad38791ae4829f9aa2985bc9e7142780f5e8d1d0174654d3387 | [
{
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{
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{
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},
{
"x": 5.877,
"y": 38.254
},
{
"x": 6.571,
"y": 43.47... | 289 | blank squares in a graph | counting | |
4c1b62f37f8a4ad38791ae4829f9aa2985bc9e7142780f5e8d1d0174654d3387 | [
{
"x": 20.009,
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{
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{
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},
{
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},
{
"x": 14.361,
"... | 17 | dark blue dots on intersecting lines | counting | |
4c1b62f37f8a4ad38791ae4829f9aa2985bc9e7142780f5e8d1d0174654d3387 | [] | 0 | numbers above 18 | counting | |
4c1b62f37f8a4ad38791ae4829f9aa2985bc9e7142780f5e8d1d0174654d3387 | [] | 0 | negative numbers | counting | |
4c1b62f37f8a4ad38791ae4829f9aa2985bc9e7142780f5e8d1d0174654d3387 | [
{
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},
{
"x": 14.766,
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},
{
"x": 70.818,
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}
] | 4 | 2 | counting | |
4c1b62f37f8a4ad38791ae4829f9aa2985bc9e7142780f5e8d1d0174654d3387 | [
{
"x": 8.959,
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{
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{
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{
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{
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{
"x": 75.439,
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},
{
"x": 81.246,
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},
{
"x": 86.578,
"y... | 20 | 1 | counting | |
4c1b62f37f8a4ad38791ae4829f9aa2985bc9e7142780f5e8d1d0174654d3387 | [
{
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},
{
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},
{
"x": 2.56,
"y": 79.935
},
{
"x": 1.968,
"y": 23.949
}
] | 4 | 3 | counting | |
4c1b62f37f8a4ad38791ae4829f9aa2985bc9e7142780f5e8d1d0174654d3387 | [
{
"x": 26.379,
"y": 99.046
},
{
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},
{
"x": 1.731,
"y": 74.701
},
{
"x": 1.968,
"y": 17.605
}
] | 4 | 4 | counting | |
4c1b62f37f8a4ad38791ae4829f9aa2985bc9e7142780f5e8d1d0174654d3387 | [
{
"x": 31.712,
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},
{
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"y": 99.046
},
{
"x": 1.968,
"y": 68.912
},
{
"x": 1.731,
"y": 12.054
}
] | 4 | 5 | counting | |
4c1b62f37f8a4ad38791ae4829f9aa2985bc9e7142780f5e8d1d0174654d3387 | [
{
"x": 37.044,
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},
{
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"y": 99.205
},
{
"x": 2.086,
"y": 6.859
},
{
"x": 1.731,
"y": 62.568
}
] | 4 | 6 | counting | |
4c1b62f37f8a4ad38791ae4829f9aa2985bc9e7142780f5e8d1d0174654d3387 | [
{
"x": 99.258,
"y": 98.927
},
{
"x": 42.851,
"y": 99.165
},
{
"x": 1.612,
"y": 57.255
},
{
"x": 2.086,
"y": 0.952
}
] | 4 | 7 | counting | |
https://www.alamy.com/aggregator-api/download?url=https://c8.alamy.com/comp/WW7458/icon-with-colored-arrows-on-white-background-vector-arrow-icon-collection-with-colored-arrows-on-light-background-for-banner-design-WW7458.jpg | cd92fb6dfd01146681db49cff11318bb9cbff166bed8e3bf79b8ae886b9041b8 | [] | 0 | straight arrows | 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.