Update README.md

README.md

@@ -8,10 +8,32 @@ sdk_version: 3.41.2
 app_file: app.py
 pinned: false
 ---
-objective :
+Description: :
 
-This demo allows you to perform brain tumors segmentation in medical images using our trained model.
+We present a demo for performing object segmentation with training a Yolov8-seg on Brain tumor dataset. The model was trained on 236 training images and validated on 28 images.
 
 Usage :
 
-You can upload brain tumor images, and the demo will provide you with your segmented image.
+You can upload Brain tumor images, and the demo will provide you with your segmented image.
+
+Dataset :
+
+This dataset comprises a total of 278 images, which are divided into three distinct sets for various purposes:
+
+-Training Set: It includes 236 images and is intended for training the model.
+
+-Validation Set: There are 28 images in the validation set, which is used for optimizing model parameters during development.
+
+-Test Set: This set consists of 14 images and serves as a separate evaluation dataset to assess the performance of trained models.
+
+-License: This dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
+
+To access and download this dataset, please follow this link: https://universe.roboflow.com/detection-qskiw/segmnetation
+
+Download Dataset:
+
+To download the dataset we used, you can use the following command in colab :
+
+!wget https://universe.roboflow.com/ds/AsTB5oygI6?key=bOrqP0fWlJ
+
+Feel free to explore and use this repository for your object segmentation needs. If you have any questions or need assistance, please don't hesitate to reach out