Skin disease classification using inceptionV3 model

Skin illnesses such as psoriasis, acne, and eczema have physical characteristics that are difficult for persons who do not have a medical background to discern. The skin disease prediction model employed in this study assists users in evaluating diseases from the aforementioned classes. This project uses the InceptionV3 model as its underlying framework. The DermNet dataset provides images that are utilized for image categorization in the model. On the ImageNet Dataset, it is demonstrated that the InceptionV3model can achieve higher than 78.8% accuracy.