---
library_name: keras
language:
- pt
- en
tags:
- art
- image
- remove-background
- u^2-net
- residual
---

## U²-Net
<p>Input Shape:(512, 512, 3)</p>
<p>This is an implementation of U²-Net for image background removing purposes based on <a href="https://arxiv.org/pdf/2005.09007" target="_blank">this article</a>. The U²-Net architecture is designed to capture both fine details and global context, making it highly effective for image segmentation tasks such as background removal.</p>

## Dataset
Dichotomous Image Segmentation (DIS) is a dataset wich contains around 5k images (images + masks) and it's used in image segmenation model training.<br>
You can find more about this dataset <a href="https://github.com/xuebinqin/DIS" target="_blank">here.</a>

## Me:
Find me at GitHub: <a href="https://github.com/reidn3r">https://github.com/reidn3r</a> <br>
Find me at Linkedin: <a href="https://www.linkedin.com/in/reidner-adnan/">https://www.linkedin.com/in/reidner-adnan/</a>