FS Computer Vision Dataset
26 Total Images
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Dataset Split
Train Set 92%
24Images
Valid Set %
0Images
Test Set 8%
2Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels