This is a small Tensorflow Inception V1 training on ISIC 2019 challange dataset. This dataset has been taken from kaggle page.
There are 25,331 images available for the classification of dermoscopic images into nine different diagnostic categories. To simplify the problem, The dataset is converted into two subfolders of Benign and Malignant.
- Training set has 20225 images belonging to 2 classes.
- Validation set has 2551 images belonging to 2 classes.
- Test set has 2555 images belonging to 2 classes.
CREDIT : tutorial videos
Your suggestions, bugs reports and pull requests are welcome and appreciated. You can also star ⭐️ the project!