Dataset Versions
v5
2024-02-20 2:26pm
Generated on Feb 20, 2024
1368 Total Images
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Dataset Split
Train Set 88%
1197Images
Valid Set 8%
114Images
Test Set 4%
57Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 62 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Noise: Up to 0.1% of pixels
Cutout: 5 boxes with 25% size each