Dataset Versions
v2
2024-05-06 7:01pm
Generated on May 7, 2024
254 Total Images
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Dataset Split
Train Set 83%
210Images
Valid Set 9%
22Images
Test Set 9%
22Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Blur: Up to 2.7px
Noise: Up to 1.84% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise