Dataset Versions

Versions
2024-10-01 10:35pm
v1
·
3 months ago
v1

2024-10-01 10:35pm

Generated on Oct 1, 2024
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7499 Total Images

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Dataset Split

Train Set 87%
6561Images
Valid Set 8%
625Images
Test Set 4%
313Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
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

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