Dataset Versions
Versions
v1
2024-09-12 10:57am
Generated on Sep 12, 2024
1600 Total Images
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Dataset Split
Train Set 75%
1200Images
Valid Set %
0Images
Test Set 25%
400Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Cutout: 10 boxes with 3% size each