shim

Gaming Chair

Object Detection

Gaming Chair Image Dataset

v4

2022-09-22 10:44am

Generated on Sep 22, 2022

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Dataset Split

Train Set 88%
630Images
Valid Set 8%
60Images
Test Set 4%
30Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 5px
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