Dataset Versions
Versions
v3
2023-09-27 5:33pm
Generated on Sep 27, 2023
7010 Total Images
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Dataset Split
Train Set 83%
5796Images
Valid Set 12%
817Images
Test Set 6%
397Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal
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 -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 0.25px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each