Update README.md

README.md

@@ -8,11 +8,32 @@ sdk_version: 3.41.2
 app_file: app.py
 pinned: false
 ---
+Description: :
 
-objective :
-
-This demo allows you to perform materials segmentation.
+We present a demo for performing object segmentation with training a Yolov8-seg on Materials dataset. The model was trained on 4424 training images and validated on 464 images.
 
 Usage :
 
-You can upload your materials image, and the demo will provide you with your segmented image.
+You can upload Materials images, and the demo will provide you with your segmented image.
+
+Dataset :
+
+The dataset contains 6,365 images and is formatted in COCO style. To facilitate usage with YOLOv8-seg, we have converted it into YOLOv8 format.
+
+-Training Set: It includes 4424 images and is intended for training the model.
+
+-Validation Set: There are 464 images in the validation set, which is used for optimizing model parameters during development.
+
+-Test Set: This set consists of 1477 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/expand-ai/materials-semantic
+
+Download Dataset:
+
+To download the dataset we used, you can use the following command in colab :
+
+!wget https://universe.roboflow.com/ds/LA0zbJDLJe?key=2sDT4tiaHm
+
+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