Dataset Versions
v2
2024-09-04 6:51am
Generated on Sep 4, 2024
130 Total Images
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Dataset Split
Train Set 88%
114Images
Valid Set 9%
12Images
Test Set 3%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -4° and +4°
Grayscale: Apply to 100% of images
Saturation: Between -30% and +30%
Brightness: Between -76% and +0%
Exposure: Between -10% and +10%