shrinand aggarwal

ms

Object Detection

ms Image Dataset

v2

2023-04-04 10:21pm

Generated on Apr 4, 2023

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Dataset Split

Train Set 98%
882Images
Valid Set 2%
15Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 36% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±11° Horizontal, ±7° Vertical
Saturation: Between -34% and +34%
Brightness: Between -15% and +15%
Exposure: Between -1% and +1%
Blur: Up to 0.25px