Dataset Versions

Versions
2022-12-24 7:35pm
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2022-12-24 12:14am
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2022-12-23 4:32pm
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2022-12-22 11:53pm
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2022-12-22 5:42pm
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2022-12-12 7:20pm
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2022-12-12 5:57pm
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2022-12-12 1:57pm
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2022-12-11 6:29pm
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2022-12-06 7:26pm
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2022-12-05 3:29pm
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2022-12-05 3:02pm
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2022-12-04 11:20am
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2022-12-04 11:08am
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2022-12-03 11:55pm
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2022-12-03 10:35pm
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2022-12-03 10:33pm
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2022-12-03 8:57pm
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2022-12-03 8:54pm
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2022-12-03 8:53pm
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2022-12-03 8:51pm
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2022-12-03 8:45pm
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2022-12-03 8:42pm
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2022-12-03 8:41pm
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2022-12-03 8:39pm
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2022-12-03 8:36pm
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2022-12-03 12:22am
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2022-12-03 12:20am
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2022-12-03 12:18am
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2022-12-01 5:47pm
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2022-11-30 10:43pm
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2022-11-30 10:23pm
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2022-11-30 10:18pm
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2022-11-30 9:18pm
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2022-11-29 7:26pm
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2022-11-29 7:24pm
v2
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2022-11-29 7:17pm
v1
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2 years ago
v28

2022-12-05 3:29pm

Generated on Dec 5, 2022

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 100%
1892Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

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

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