Dataset Versions
v3
2024-09-08 2:55pm
Generated on Sep 8, 2024
2519 Total Images
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Dataset Split
Train Set 98%
2469Images
Valid Set 2%
40Images
Test Set 0%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -12° and +12°
Saturation: Between -21% and +21%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 0.1% of pixels
Bounding Box: Rotation: Between -9° and +9°
Bounding Box: Shear: ±6° Horizontal, ±6° Vertical
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1.4px
Bounding Box: Noise: Up to 0.1% of pixels