Dataset Versions

v14

2024-10-26 5:52am

Generated on Oct 26, 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 95%
2849Images
Valid Set 4%
120Images
Test Set 1%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±11° Horizontal, ±10° Vertical
Hue: Between -4° and +4°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -6% and +6%
Noise: Up to 0.1% of pixels
Mosaic: Applied
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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