Dataset Versions

v5

2022-03-10 8:29pm

Generated on Mar 11, 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.
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Dataset Split

Train Set 91%
738Images
Valid Set 5%
41Images
Test Set 4%
33Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Hue: Between -2° and +2°
Brightness: Between -2% and +2%
Exposure: Between -3% and +3%
Blur: Up to 4px
Noise: Up to 1% of pixels
Cutout: 13 boxes with 10% size each
Bounding Box: Brightness: Between -3% and +3%
Bounding Box: Blur: Up to 0.5px

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