Dataset Versions
v4
SelwynV1
Generated on Aug 14, 2024
284 Total Images
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Dataset Split
Train Set 88%
249Images
Valid Set 8%
24Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -15% and +15%
Exposure: Between -1% and +1%
Noise: Up to 0.5% of pixels