Dataset Versions
v3
final2
Generated on Apr 29, 2022
1174 Total Images
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Dataset Split
Train Set 90%
1062Images
Valid Set 5%
55Images
Test Set 5%
57Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -36° and +36°
Saturation: Between -66% and +66%
Brightness: Between -24% and +24%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels