This deep learning project uses the ResNet-50 model to detect blindness based on the APTOS 2019 dataset from Kaggle.
Our project aims to address the challenge of early blindness detection using deep learning. We utilize the APTOS 2019 dataset, which consists of retinal images. By training a ResNet-50 model on this dataset, we aim to classify images into five different stages of retinal disease.
To set up the project, follow these steps:
- Clone this repository to your local machine.
- Install project dependencies by running `pip install ..... .
This project is licensed under the MIT License.
- Kaggle for providing the APTOS 2019 dataset. https://www.kaggle.com/competitions/aptos2019-blindness-detection/data