Dataset Versions
v1
2024-08-16 1:50pm
Generated on Aug 16, 2024
120 Total Images
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Dataset Split
Train Set 88%
105Images
Valid Set 8%
10Images
Test Set 4%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%