Dataset Versions
v1
2024-05-09 3:49pm
Generated on May 9, 2024
520 Total Images
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Dataset Split
Train Set 92%
480Images
Valid Set 8%
40Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 384x384
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%