Dataset Versions
v2
2023-10-08 6:57pm
Generated on Oct 8, 2023
79 Total Images
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Dataset Split
Train Set 91%
72Images
Valid Set 5%
4Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 4 boxes with 17% size each