Dataset Versions
v1
2024-12-04 1:41pm
Generated on Dec 4, 2024
315 Total Images
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Dataset Split
Train Set 95%
300Images
Valid Set 5%
15Images
Test Set %
0Images
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