Dataset Versions
Versions
v3
2024-05-03 8:16am
Generated on May 3, 2024
185 Total Images
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Dataset Split
Train Set 88%
162Images
Valid Set 8%
15Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -55% and +55%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels