2nd_lab_people_segmentation Image Dataset
v2
2024-02-19 4:52pm
Generated on Feb 19, 2024
224 Total Images
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Dataset Split
Train Set 92%
207Images
Valid Set 4%
9Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
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