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Chess Board Detection

Object Detection

Chess Board Detection Image Dataset

v4

2023-03-23 8:33pm

Generated on Mar 23, 2023

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Dataset Split

Train Set 85%
63Images
Valid Set 8%
6Images
Test Set 7%
5Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -2° and +2°
Brightness: Between -16% and +16%
Noise: Up to 3% of pixels
Bounding Box: Brightness: Between -4% and +4%