Dataset Versions

v1

2024-12-19 11:12pm

Generated on Dec 19, 2024

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 88%
4401Images
Valid Set 8%
419Images
Test Set 4%
209Images

Preprocessing

Auto-Orient: Applied
Static Crop: 54-61% Horizontal Region, 46-60% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Exposure: Between -33% and +33%
Blur: Up to 2.4px

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