Dataset Versions
v8
2023-07-31 3:22pm
Generated on Jul 31, 2023
6264 Total Images
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Dataset Split
Train Set 88%
5484Images
Valid Set 8%
532Images
Test Set 4%
248Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied