Dataset Versions
Versions
v1
2023-08-16 2:16pm
Generated on Aug 16, 2023
480 Total Images
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Dataset Split
Train Set 88%
420Images
Valid Set 8%
40Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -30% and +30%
Noise: Up to 3% of pixels
Cutout: 5 boxes with 10% size each