Dataset Versions

Versions
2023-02-06 3:47pm
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2023-02-06 3:46pm
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2023-02-03 5:07pm
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2023-02-03 5:05pm
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2023-02-03 5:04pm
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2023-02-03 11:53am
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2023-02-03 10:18am
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2023-01-31 12:04pm
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2023-01-31 12:00pm
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2023-01-30 5:47pm
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2023-01-30 5:35pm
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2023-01-30 5:29pm
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2023-01-30 5:25pm
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2023-01-30 5:19pm
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2023-01-30 4:52pm
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2023-01-30 4:49pm
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2023-01-30 3:57pm
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2023-01-30 11:09am
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v50

2023-02-03 5:04pm

Generated on Feb 3, 2023

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 87%
204Images
Valid Set 6%
15Images
Test Set 6%
15Images

Preprocessing

Resize: Fit within 640x384

Augmentations

Outputs per training example: 3
Bounding Box: Brightness: Between -17% and +17%

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