Dataset Versions

Versions
2024-06-23 8:29am
v50
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6 months ago
2024-06-17 11:05am
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2024-06-17 11:02am
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2024-06-15 12:44am
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2024-04-22 8:51pm
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2024-04-21 2:20pm
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2024-04-21 2:30am
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2024-04-18 12:27am
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2024-04-15 4:46am
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2024-04-15 3:45am
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2024-04-15 2:45am
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2024-04-12 12:45am
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2024-04-11 2:29pm
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2024-04-11 1:49pm
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2024-04-11 1:45pm
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2024-04-11 1:43pm
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2024-04-11 1:42pm
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2024-04-11 12:11pm
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2024-04-11 1:30am
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2024-04-11 1:29am
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2024-04-11 1:27am
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2024-04-11 1:27am
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2024-04-09 8:20pm
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2024-04-09 1:02pm
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2024-04-09 11:21am
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2024-04-09 11:07am
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2024-04-09 9:36am
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2024-04-09 9:29am
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2024-04-09 9:14am
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v13
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2024-04-09 3:41am
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2024-04-09 2:53am
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2024-04-08 4:57pm
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2024-04-08 4:04pm
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2024-04-08 3:36pm
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2024-04-07 8:12pm
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2024-04-07 7:32pm
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2024-04-07 5:11pm
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2024-04-07 12:33pm
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2024-04-06 7:06pm
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2024-04-06 6:59pm
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2024-04-06 6:45pm
v1
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9 months ago
v32

2024-04-11 1:42pm

Generated on Apr 11, 2024

Popular Download Formats

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.
Other Formats
Choose another format.

Dataset Split

Train Set 86%
3572Images
Valid Set 9%
371Images
Test Set 5%
190Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down