Dataset Versions

v1

2023-02-09 9:40pm

Generated on Feb 9, 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 94%
24783Images
Valid Set 3%
826Images
Test Set 3%
766Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±2° Horizontal, ±2° Vertical
Brightness: Between -8% and +8%
Blur: Up to 1px
Noise: Up to 2% of pixels

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