Dataset Versions

v5

YOLOv6

Generated on Apr 17, 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%
741Images
Valid Set 9%
72Images
Test Set 4%
31Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±4° Horizontal, ±10° Vertical
Brightness: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 1.96% of pixels