3-person detection on 2-wheeler Dataset

v9

2024-03-20 3:20pm

Generated on Mar 20, 2024

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Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: more-than-2-person-on-3-wheeler
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±10° Vertical
Saturation: Between -26% and +26%
Brightness: Between -15% and +15%
Exposure: Between -30% and +30%
Blur: Up to 2px
Noise: Up to 4.85% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -29° and +29°
Bounding Box: Blur: Up to 1px