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 11:53am
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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 5:40pm
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2023-01-30 5:39pm
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2023-01-30 5:37pm
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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 4:52pm
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2023-01-30 3:57pm
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2023-01-30 11:09am
v1
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v11

2023-01-30 5:39pm

Generated on Jan 30, 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%
209Images
Valid Set 6%
15Images
Test Set 6%
15Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°

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