ENSAM

PPE detection

Object Detection

PPE detection Image Dataset

v2

2022-12-10 9:35am

Generated on Dec 10, 2022

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Dataset Split

Train Set 87%
4080Images
Valid Set 8%
388Images
Test Set 4%
195Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 9 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 51% Maximum Zoom
Rotation: Between -33° and +33°
Shear: ±33° Horizontal, ±29° Vertical
Grayscale: Apply to 100% of images
Brightness: Between -41% and +41%
Exposure: Between -49% and +49%
Blur: Up to 2.5px
Noise: Up to 25% of pixels
Cutout: 23 boxes with 10% size each
Mosaic: Applied
Bounding Box: Brightness: Between -63% and +63%
Bounding Box: Blur: Up to 5.75px
Bounding Box: Noise: Up to 15% of pixels