Dataset Versions
v1
2023-12-09 2:42pm
Generated on Dec 9, 2023
8968 Total Images
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Dataset Split
Train Set 90%
8076Images
Valid Set 6%
532Images
Test Set 4%
360Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Exposure: Between -16% and +16%
Blur: Up to 1.75px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each