Purdue University

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MSE Walls

Instance Segmentation

MSE Walls Image Dataset

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Versions
2024-03-28 10:47pm
v8
Mar 29, 2024
2024-02-29 2:50pm
v7
Feb 29, 2024
2024-01-21 12:06pm
v6
Jan 21, 2024
2024-01-17 3:28pm
v5
Jan 17, 2024
2024-01-11 10:39pm
v4
Jan 12, 2024
2023-12-06 5:50pm
v3
Dec 6, 2023
2023-11-27 10:57pm
v2
Nov 28, 2023
2023-11-08 12:09am
v1
Nov 8, 2023
v5

2024-01-17 3:28pm

Generated on Jan 17, 2024
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2781 Total Images

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Dataset Split

Train Set 82%
2288Images
Valid Set 12%
327Images
Test Set 6%
166Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%
Noise: Up to 1.8% of pixels