Dataset Versions
v6
Data_Submission
Generated on Jul 29, 2024
309 Total Images
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Dataset Split
Train Set 90%
279Images
Valid Set 6%
20Images
Test Set 3%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 2% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 1% of images
Hue: Between -1° and +1°
Saturation: Between -1% and +1%
Brightness: Between -10% and +10%
Exposure: Between -1% and +1%
Blur: Up to 0.1px
Noise: Up to 0.1% of pixels