Dataset Versions

v1

Model_without_Augmentation

Generated on Oct 20, 2022

Dataset Split

Train Set 100%
6030Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 1% of pixels
Cutout: 4 boxes with 10% size each

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