Dataset Versions
v2
2024-04-01 6:50pm
Generated on Apr 1, 2024
360 Total Images
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Dataset Split
Train Set 93%
333Images
Valid Set 8%
27Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px