Dataset Versions

v6

2022-01-28 4:30pm

Generated on Jan 28, 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 95%
3663Images
Valid Set 5%
175Images
Test Set 1%
28Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -10° and +10°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -21% and +21%
Exposure: Between -5% and +5%
Noise: Up to 1% of pixels
Cutout: 4 boxes with 11% size each
Mosaic: Applied

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