Dataset Versions
v4
2024-02-28 4:49pm
Generated on Feb 28, 2024
848 Total Images
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Dataset Split
Train Set 92%
777Images
Valid Set 5%
43Images
Test Set 3%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -45% and +45%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 2 boxes with 10% size each
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%