Dataset Versions

v10

Round3v4

Generated on Mar 5, 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.
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Dataset Split

Train Set 75%
6057Images
Valid Set 12%
1011Images
Test Set 13%
1029Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 5 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -24° and +24°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.7px
Noise: Up to 1.96% of pixels