Dataset Versions

v23

2023-03-29 9:11pm

Generated on Mar 29, 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.
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Dataset Split

Train Set 75%
3018Images
Valid Set 13%
507Images
Test Set 13%
505Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 736x736
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 3% of pixels

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