Dataset Versions

v2

2022-11-25 10:17pm

Generated on Nov 25, 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 87%
1896Images
Valid Set 8%
181Images
Test Set 4%
90Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Hue: Between -180° and +180°
Saturation: Between -75% and +75%
Noise: Up to 10% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 50% Maximum Zoom

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