Dataset Versions

v4

2022-12-10 12:55am

Generated on Dec 9, 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 82%
8352Images
Valid Set 9%
931Images
Test Set 9%
931Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -26° and +26°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 43% of images
Brightness: Between -36% and +36%
Blur: Up to 4.75px

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