Dataset Versions
v3
2024-08-23 1:23pm
Generated on Aug 23, 2024
4044 Total Images
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Dataset Split
Train Set 93%
3774Images
Valid Set 4%
180Images
Test Set 2%
90Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 680x480
Augmentations
Outputs per training example: 6
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 1.5% of pixels