Dataset Versions
v6
2024-08-25 9:00pm
Generated on Aug 25, 2024
3762 Total Images
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Dataset Split
Train Set 88%
3294Images
Valid Set 8%
312Images
Test Set 4%
156Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 1.2px
Noise: Up to 1.6% of pixels