Dataset Versions

Versions
2022-01-31 8:05pm
v36
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3 years ago
2022-01-31 8:03pm
v35
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3 years ago
2022-01-30 7:31pm
v34
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3 years ago
2022-01-30 7:30pm
v33
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3 years ago
2022-01-30 5:14pm
v32
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3 years ago
2022-01-30 5:12pm
v31
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3 years ago
2022-01-30 5:11pm
v30
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3 years ago
2022-01-30 5:10pm
v29
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3 years ago
2022-01-30 5:09pm
v28
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3 years ago
2022-01-30 5:07pm
v27
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3 years ago
2022-01-30 4:53pm
v26
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3 years ago
2022-01-30 4:51pm
v25
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3 years ago
2022-01-30 4:50pm
v24
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3 years ago
2022-01-30 4:49pm
v23
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3 years ago
2021-12-22 1:55pm
v22
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3 years ago
2021-11-28 6:47pm
v12
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3 years ago
2021-10-16 10:10am
v9
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3 years ago
2021-10-03 9:19am
v8
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3 years ago
2021-09-25 10:05pm
v7
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3 years ago
2021-09-20 9:00am
v6
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3 years ago
2021-09-19 11:21am
v5
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3 years ago
2021-09-19 11:19am
v4
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3 years ago
2021-09-18 2:24am
v3
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3 years ago
2021-09-18 2:20am
v2
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3 years ago
v27

2022-01-30 5:07pm

Generated on Jan 30, 2022
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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1233 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 95%
1174Images
Valid Set %
0Images
Test Set 5%
59Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 1
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