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2023-10-09 11:01pm
v4
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a year ago
2023-07-30 9:38pm
v3
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a year ago
2023-07-29 10:11pm
v1
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a year ago
v4

2023-10-09 11:01pm

Generated on Oct 9, 2023
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6075 Total Images

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Dataset Split

Train Set 91%
5550Images
Valid Set 5%
305Images
Test Set 4%
220Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 1024x1024
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 4 remapped, 4 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 30% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels

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