Dataset Versions

v13

2024-03-27 11:07am

Generated on Mar 27, 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 91%
684Images
Valid Set 9%
68Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±10° Vertical
Grayscale: Apply to 12% of images
Hue: Between -19° and +19°
Saturation: Between -33% and +33%
Brightness: Between -17% and +17%
Exposure: Between -10% and +10%
Blur: Up to 0.9px

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