Dataset Versions

v3

first yolov8 version

Generated on Nov 19, 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 88%
558Images
Valid Set 8%
52Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Static Crop: 40-60% Horizontal Region, 31-68% Vertical Region
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -20° and +20°
Brightness: Between -30% and +30%