Dataset Versions

v4

equipe5-v1-fullsize

Generated on Jul 22, 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.
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Dataset Split

Train Set 88%
2451Images
Valid Set 8%
233Images
Test Set 4%
117Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -29% and +29%
Brightness: Between -15% and +15%
Noise: Up to 1.44% of pixels

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