Dataset Versions
Versions
v1
2024-06-21 4:21am
Generated on Jun 21, 2024
6268 Total Images
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Dataset Split
Train Set 87%
5484Images
Valid Set 8%
520Images
Test Set 4%
264Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 5 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images