Dataset Versions

v7

veins-cry-kimono

Generated on Mar 3, 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 84%
1149Images
Valid Set 14%
195Images
Test Set 2%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 350x330

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels