person classification Dataset
v1
2024-05-13 1:04pm
Generated on May 13, 2024
4050 Total Images
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Dataset Split
Train Set 93%
3756Images
Valid Set 2%
84Images
Test Set 5%
210Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels