Dataset Versions

v4

2023-11-26 4:38pm

Generated on Nov 26, 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 91%
2757Images
Valid Set 5%
149Images
Test Set 4%
125Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -31% and +31%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied

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