Dataset Versions

v19

2023-09-30 7:23pm

Generated on Sep 30, 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 90%
717Images
Valid Set 6%
44Images
Test Set 4%
32Images

Preprocessing

Auto-Orient: Applied
Static Crop: 13-89% Horizontal Region, 12-95% Vertical Region
Resize: Stretch to 400x400

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Hue: Between -40° and +40°
Saturation: Between -50% and +50%
Brightness: Between -35% and +35%
Exposure: Between -30% and +30%
Blur: Up to 1.5px
Noise: Up to 10% of pixels
Cutout: 10 boxes with 10% size each
Mosaic: Applied

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