Dataset Versions
Versions
v1
2023-10-25 12:32pm
Generated on Oct 25, 2023
342 Total Images
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Dataset Split
Train Set 96%
330Images
Valid Set 4%
12Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 528x528
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -19° and +19°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%