Dataset Versions

v1

2024-07-30 3:03pm

Generated on Jul 30, 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.
Other Formats
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Dataset Split

Train Set 99%
2394Images
Valid Set 1%
13Images
Test Set 0%
4Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -3° and +3°
Hue: Between -15° and +15°
Saturation: Between -8% and +8%
Brightness: Between -5% and +5%
Exposure: Between -3% and +3%
Blur: Up to 0.3px
Noise: Up to 0.1% of pixels