Dataset Versions

v17

2022-08-30 3:16pm

Generated on Aug 30, 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 88%
3654Images
Valid Set 8%
318Images
Test Set 5%
199Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit within 700x700
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 14% Minimum Zoom, 68% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Noise: Up to 5% of pixels
Cutout: 25 boxes with 5% size each
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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