Dataset Versions
v3
v3
Generated on Apr 23, 2024
355 Total Images
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Dataset Split
Train Set 93%
330Images
Valid Set 7%
25Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±6° Vertical
Exposure: Between -10% and +10%