Update README.md

README.md

@@ -1,15 +1,19 @@
-
 ---
 library_name: keras
+language:
+- pt
+- en
+tags:
+- art
+- image
+- remove-background
+- u^2-net
+- residual
 ---
 
-This model has been uploaded using the Keras library and can be used with JAX,
-TensorFlow, and PyTorch backends.
-
-This model card has been generated automatically and should be completed by the
-model author.
-See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for
-more information.
+## U²-Net
+<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. 
 
-For more details about the model architecture, check out
-[config.json](./config.json).A plot of the model can be found [here](./assets/summary_plot.png).
+## 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>