Update README.md

README.md

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 app_file: app.py
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+Description: :
 
-objective :
-
-This demo focuses on segmenting fire and smoke regions in images. 
+We present a demo for performing object segmentation with training a Yolov8-seg on Fire and Smoke dataset. The model was trained on 141 training images and validated on 40 images.
 
 Usage :
 
-You can upload your fire and smoke images, and the demo will provide you with your segmented image.
+You can upload Fire-smoke images, and the demo will provide you with your segmented image.
+
+Dataset :
+
+This dataset comprises a total of 201 images, which are divided into three distinct sets for various purposes:
+
+-Training Set: It includes 141 images and is intended for training the model.
+
+-Validation Set: There are 40 images in the validation set, which is used for optimizing model parameters during development.
+
+-Test Set: This set consists of 20 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/roboflow-universe-projects/fire-and-smoke-segmentation
+
+Download Dataset:
 
+To download the dataset we used, you can use the following command in colab :
 
+!wget https://universe.roboflow.com/ds/sa8NEyshnE?key=QRCjQHx69K
 
+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