Dataset Versions

v16

2023-11-16 9:15pm

Generated on Nov 16, 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.
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Dataset Split

Train Set 82%
603Images
Valid Set 14%
106Images
Test Set 3%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 7 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -34° and +34°
Saturation: Between -55% and +55%
Brightness: Between -13% and +13%
Exposure: Between -14% and +14%
Noise: Up to 2% of pixels

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