Dataset Versions
v3
2023-10-16 10:43am
Generated on Oct 16, 2023
5699 Total Images
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Dataset Split
Train Set 90%
5148Images
Valid Set 7%
374Images
Test Set 3%
177Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 6 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 6% of images
Hue: Between -25° and +25°
Saturation: Between -10% and +10%
Brightness: Between -14% and +14%
Blur: Up to 1px
Noise: Up to 2% of pixels
Cutout: 5 boxes with 11% size each