Dataset Versions

v6

2023-08-11 4:25pm

Generated on Aug 11, 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 83%
552Images
Valid Set 11%
73Images
Test Set 6%
37Images

Preprocessing

Auto-Orient: Applied
Static Crop: 11-79% Horizontal Region, 79-100% Vertical Region
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 2
Rotation: Between -5° and +5°
Blur: Up to 0.25px
Noise: Up to 6% of pixels

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