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This repository contains code for a segmentation project using the UNet architecture. The project involves training a deep learning model to perform image segmentation on a custom dataset of hand gestures.
The Brain Tumor Classification project uses a deep learning model to identify MRI images of the brain as Glioma, Meningioma, No Tumor, or Pituitary. It features a web application built with Streamlit that allows users to upload images and receive accurate predictions.