Dataset Versions

v13

2022-07-31 2:30pm

Generated on Jul 31, 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 81%
1437Images
Valid Set 14%
244Images
Test Set 5%
95Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±17° Horizontal, ±17° Vertical
Brightness: Between -29% and +29%
Blur: Up to 1.75px
Noise: Up to 5% of pixels
Cutout: 6 boxes with 10% size each

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