Sharif university of technology

EDM90

Object Detection

EDM90 Image Dataset

v1

2022-09-13 11:49am

Generated on Sep 13, 2022

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Dataset Split

Train Set 87%
204Images
Valid Set 4%
9Images
Test Set 9%
21Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Grayscale: Apply to 100% of images
Saturation: Between -50% and +50%
Exposure: Between -10% and +10%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 25% of pixels