Dataset Versions

v79

2023-12-21 11:24am

Generated on Dec 21, 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 73%
3270Images
Valid Set 14%
613Images
Test Set 13%
597Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 320x320
Grayscale: Applied
Modify Classes: 43 remapped, 5 dropped

Augmentations

Outputs per training example: 3
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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