Dataset Versions

v17

Prueba

Generated on Jun 26, 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%
75Images
Valid Set 7%
6Images
Test Set 6%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 416x416
Modify Classes: 0 remapped, 3 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 70% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -5% and +5%
Cutout: 3 boxes with 10% size each
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Blur: Up to 2px

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