Dataset Versions
v16
resize640-aug3x-allClasses-mappedToTrash
Generated on May 17, 2023
3597 Total Images
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Dataset Split
Train Set 87%
3147Images
Valid Set 8%
299Images
Test Set 4%
151Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 59 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -8° and +8°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 5% of images
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.75px
Cutout: 5 boxes with 2% size each