[Project Addition]: Brain Tumor Segmentation

[Karthik110505]

🔴 Project Title : Brain Tumor Segmentation

🔴 Aim : To Segment the tumor in brain

🔴 Dataset :https://www.kaggle.com/datasets/nikhilroxtomar/brain-tumor-segmentation?select=masks

🔴 Approach : Use the pretrained models like variants of yolo inorder to segment the brain tumor .

@SrijanShovit Please assign me this issue

[github-actions]

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[SrijanShovit]

What all steps would you apply. Provide a detailed roadmap(including optim, act functions, metrics,etc)

[Karthik110505]

Process that I follow:

• Download the dataset from kaggle

• Inspect the data and prepare it for model training

• Try downloading yolo varients like yolov8 , yolov7, yolov5 and train the model.

• Evaluate the model performance and modify the parameters for better model performance

• Choose the best performing model

• Predict the brain tumor in testing dataset

• The output consist of images with segmentation around the brain tumor.
  Note: Currently I can't mention the optm, act and metrics . As we can't tell the perfect one's before the model training. They vary with data that we take

@SrijanShovit

[github-actions]

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