Dataset Versions
v1
2024-11-30 8:57pm
Generated on Nov 30, 2024
277 Total Images
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Dataset Split
Train Set 88%
243Images
Valid Set 8%
23Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±12° Vertical
Hue: Between -27° and +27°
Brightness: Between -19% and +19%
Blur: Up to 4.7px
Noise: Up to 1.01% of pixels
Cutout: 4 boxes with 10% size each