Dataset Versions

v11

2024-10-08 4:49am

Generated on Oct 8, 2024

Dataset Split

Train Set 68%
705Images
Valid Set 24%
245Images
Test Set 8%
83Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Grayscale: Apply to 15% of images
Saturation: Between -32% and +32%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Blur: Up to 1.7px

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