Dataset Versions

v9

2023-03-28 9:07am

Generated on Mar 28, 2023

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 80%
491Images
Valid Set 9%
56Images
Test Set 10%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 1
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 2% of pixels