Dataset Versions
v5
2024-03-26 9:08pm
Generated on Mar 26, 2024
1900 Total Images
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Dataset Split
Train Set 87%
1656Images
Valid Set 8%
160Images
Test Set 4%
84Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-82% Horizontal Region, 0-83% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±16° Vertical
Grayscale: Apply to 15% of images
Hue: Between -16° and +16°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -28% and +28%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 8 boxes with 10% size each