Players

People_V1

Object Detection

People_V1 Image Dataset

v8

2022-11-30 11:05am

Generated on Nov 30, 2022

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Dataset Split

Train Set 94%
6546Images
Valid Set 5%
322Images
Test Set 1%
101Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -20% and +20%
Blur: Up to 0.25px
Noise: Up to 2% of pixels
Cutout: 25 boxes with 3% size each
Bounding Box: Flip: Horizontal