This repository contains a deep learning model for the detection of brain tumors using the InceptionResNetV2 architecture. The model has been trained on the "Brain MRI Images for Brain Tumor Detection" dataset from Kaggle and evaluated using various metrics to assess its performance.
The dataset used for training and evaluation is "Brain MRI Images for Brain Tumor Detection" available on Kaggle. You can find the dataset here. Please make sure to download the dataset and follow the appropriate licensing terms.
The model utilizes the InceptionResNetV2 architecture, a deep convolutional neural network pre-trained on a large dataset. This architecture is well-suited for image classification tasks and has shown strong performance in various computer vision applications.
The model's performance has been evaluated using the following metrics:
- Accuracy
- Precision
- Recall
- F1 Score
- Log Loss
- Jaccard Score