Dataset Versions
Versions
v1
2024-11-22 7:58am
Generated on Nov 22, 2024
17849 Total Images
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Dataset Split
Train Set 92%
16476Images
Valid Set 4%
687Images
Test Set 4%
686Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -45° and +45°
Hue: Between -21° and +21°
Saturation: Between -32% and +32%
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 1.76% of pixels