About Dataset

This dataset contains images of skin lesions, categorized into two classes: malignant and benign. The dataset is organized into two folders:

Malignant: This folder contains images of skin lesions that have been diagnosed as malignant, indicating the presence of skin cancer. These images can be used for training models to detect and differentiate malignant skin conditions.

Benign: This folder includes images of benign skin lesions, which are non-cancerous and pose no immediate threat. These images are essential for training models to accurately distinguish between harmful and harmless skin conditions.

This dataset can be used for tasks such as image classification, deep learning model training, and research in medical image analysis. By leveraging this dataset, researchers and practitioners can develop models that aid in the early detection and diagnosis of skin cancer.