Dataset Versions
v2
2023-11-04 1:54am
Generated on Nov 3, 2023
6468 Total Images
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Dataset Split
Train Set 86%
5586Images
Valid Set 9%
591Images
Test Set 4%
291Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 40% of images
Hue: Between -26° and +26°
Saturation: Between -25% and +25%
Brightness: Between -28% and +28%
Exposure: Between -38% and +38%
Blur: Up to 1px
Noise: Up to 10% of pixels
Cutout: 4 boxes with 23% size each
Mosaic: Applied