Dataset Versions

v9

YOLOv9 Training

Generated on Jun 19, 2024

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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 87%
9519Images
Valid Set 10%
1100Images
Test Set 2%
265Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -49° and +49°
Brightness: Between -30% and +30%
Noise: Up to 1.97% of pixels

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