detect_fr Dataset

v1

2024-06-22 12:09pm

Generated on Jun 22, 2024

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Dataset Split

Train Set 88%
2964Images
Valid Set 8%
278Images
Test Set 4%
138Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 36% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 5% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -12% and +12%
Blur: Up to 1.8px
Noise: Up to 1.01% of pixels