CP3

TC3

Object Detection

TC3 Image Dataset

v30

2024-04-26 1:28pm

Generated on Apr 26, 2024

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Dataset Split

Train Set 53%
6000Images
Valid Set 24%
2757Images
Test Set 23%
2665Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 10% of images
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1% of pixels

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