Dataset Versions

v7

2024-10-25 3:09am

Generated on Oct 25, 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%
2268Images
Valid Set 4%
111Images
Test Set 8%
206Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 16-80% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Exposure: Between -12% and +12%
Mosaic: Applied

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