Dataset Versions
v2
2024-09-05 1:37pm
Generated on Sep 5, 2024
361 Total Images
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Dataset Split
Train Set 87%
315Images
Valid Set 8%
30Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Exposure: Between -7% and +7%
Blur: Up to 2px
Noise: Up to 1.13% of pixels