TAHAR

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Classification

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Versions
2024-03-30 3:04pm
v1
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3 months ago
v1

2024-03-30 3:04pm

Generated on Mar 30, 2024
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658 Total Images

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Dataset Split

Train Set 88%
576Images
Valid Set 8%
55Images
Test Set 4%
27Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
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 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.7px
Noise: Up to 0.1% of pixels