Dataset Versions

v11

2023-11-10 9:13am

Generated on Nov 10, 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 90%
2211Images
Valid Set 6%
156Images
Test Set 4%
103Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 200x150
Modify Classes: 52 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -15% and +15%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 2% of pixels

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