Dataset Versions

v12

2024-12-01 6:51pm

Generated on Dec 1, 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 77%
2421Images
Valid Set 11%
345Images
Test Set 13%
397Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -34% and +34%
Brightness: Between -23% and +23%
Blur: Up to 0.8px
Noise: Up to 0.02% of pixels

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