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---
title: Brain Tumor Demo
emoji: 🌖
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 3.41.2
app_file: app.py
pinned: false
---
Description: :
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.
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 |