Dataset Versions
Versions
v1
2024-09-28 8:00am
Generated on Sep 28, 2024
168 Total Images
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Dataset Split
Train Set 88%
147Images
Valid Set 8%
14Images
Test Set 4%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Noise: Up to 4.34% of pixels
Bounding Box: Exposure: Between -23% and +23%