Dataset Versions
v2
2024-08-21 12:51am
Generated on Aug 21, 2024
901 Total Images
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Dataset Split
Train Set 96%
864Images
Valid Set 2%
18Images
Test Set 2%
19Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.4px
Noise: Up to 0.1% of pixels