Dataset Versions

v13

2024-11-17 2:55pm

Generated on Nov 17, 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 93%
1914Images
Valid Set 4%
86Images
Test Set 3%
67Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 600x800

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 0.1% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -10° and +10°

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