Dataset Versions
Versions
v1
2024-09-11 11:41am
Generated on Sep 11, 2024
86 Total Images
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Dataset Split
Train Set 87%
75Images
Valid Set 8%
7Images
Test Set 5%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -18% and +18%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels