Dataset Versions

v7

2023-04-27 1:56pm

Generated on Apr 27, 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 83%
111Images
Valid Set 7%
9Images
Test Set 10%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 960x720

Augmentations

Outputs per training example: 3
Flip: Vertical
Brightness: Between -25% and +25%
Cutout: 22 boxes with 8% size each
Bounding Box: Flip: Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -5° and +5°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 4px
Bounding Box: Noise: Up to 5% of pixels

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