Senior_proj Dataset

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2023-04-11 9:43pm
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2023-04-05 10:12pm

Generated on Apr 5, 2023
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26704 Total Images

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Dataset Split

Train Set 86%
23052Images
Valid Set 8%
2192Images
Test Set 5%
1460Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±4° Horizontal, ±7° Vertical
Hue: Between -33° and +33°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -22% and +22%
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each