St Vincent Pallotti College of Engineering and Technology

FOD

Object Detection

FOD Image Dataset

v1

2023-01-08 8:12pm

Generated on Jan 8, 2023

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Dataset Split

Train Set 90%
885Images
Valid Set 7%
67Images
Test Set 4%
35Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -13° and +13°
Saturation: Between -25% and +25%
Brightness: Between 0% and +32%
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between 0% and +16%