Independent Research

OAK-D People Images from RoboFlow

Object Detection

OAK-D People Images from RoboFlow Image Dataset

v3

2022-09-26 9:59am

Generated on Sep 26, 2022

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Dataset Split

Train Set 91%
4422Images
Valid Set 5%
226Images
Test Set 4%
193Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -35% and +35%
Blur: Up to 1.75px
Noise: Up to 5% of pixels