moahaimen

yoloR

Object Detection

yoloR Image Dataset

v1

2022-09-07 2:42am

Generated on Sep 6, 2022

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Dataset Split

Train Set 90%
60Images
Valid Set 7%
5Images
Test Set 3%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -6° and +6°
Saturation: Between -31% and +31%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 4.5px
Noise: Up to 5% of pixels
Mosaic: Applied