TU Chemnitz

FLP

Object Detection

FLP Image Dataset

v8

2023-02-23 10:27pm

Generated on Feb 23, 2023

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Dataset Split

Train Set 92%
3006Images
Valid Set 6%
188Images
Test Set 3%
82Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -31% and +31%
Brightness: Between -42% and +42%
Exposure: Between -12% and +12%
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -5° and +5°
Bounding Box: Brightness: Between -3% and +3%
Bounding Box: Noise: Up to 2% of pixels
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street-obstacles
1200 images
roads-sidewalks-persons
2425 images
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street-obstacles
494 images