Dataset Versions
Versions
v1
v1
Generated on Sep 29, 2024
289 Total Images
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Dataset Split
Train Set 94%
273Images
Valid Set 4%
11Images
Test Set 2%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 7
Flip: Vertical
90° Rotate: Clockwise
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.7px
Noise: Up to 0.77% of pixels