v3

2025-02-02 2:43pm

Generated on Feb 2, 2025

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 95%
6680Images
Valid Set 3%
245Images
Test Set 2%
130Images

Preprocessing

Auto-Orient: Applied
Static Crop: 26-60% Horizontal Region, 44-52% Vertical Region
Resize: Stretch to 375x375
Grayscale: Applied

Augmentations

Outputs per training example: 5
Brightness: Between -30% and +30%
Noise: Up to 4.06% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Blur: Up to 3.6px

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