Dataset Versions

v1

2024-11-22 11:49pm

Generated on Nov 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 94%
276Images
Valid Set 4%
13Images
Test Set 2%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±14° Horizontal, ±8° Vertical
Saturation: Between -17% and +17%
Brightness: Between -20% and +0%
Noise: Up to 1.29% of pixels

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