Dataset Versions

v5

Version 4 Augmented 1280

Generated on Jun 16, 2022

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 90%
4221Images
Valid Set 8%
374Images
Test Set 2%
95Images

Preprocessing

Resize: Stretch to 1280x1280
Modify Classes: 8 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±9° Horizontal, ±9° Vertical
Hue: Between -25° and +25°
Saturation: Between -40% and +40%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1.25px
Noise: Up to 4% of pixels