BPNAI

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diy-padat

Instance Segmentation

diy-padat Image Dataset

Try Pre-Trained Model
Versions
2024-02-06 11:10am
v2
Feb 6, 2024
2024-02-06 10:57am
v1
Feb 6, 2024
v2

2024-02-06 11:10am

Generated on Feb 6, 2024
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810 Total Images

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Dataset Split

Train Set 89%
720Images
Valid Set 9%
72Images
Test Set 2%
18Images

Preprocessing

Auto-Orient: Applied
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down