This dataset provides a comprehensive collection of images aimed at supporting the development of machine learning models for detecting nail diseases, including Acral Lentiginous Melanoma, Healthy Nail, Onychogryphosis, Blue Finger, Clubbing, and Pitting diseases.

• Contains subfolders for each category:
  1. acral_lentiginous_melanoma
  2. healthy_nail
  3. onychogryphosis
  4. blue_finger
  5. clubbing
  6. pitting

Each subfolder contains images related to the specific nail condition.
File Format: JPEG

Preferred File Formats
To ensure the data is machine-readable and easy to work with:

Images: Provided in standard image formats like JPEG, which are widely supported across various platforms and tools.

• Use Cases:
  • Medical Image Analysis: Development of diagnostic tools for early detection of nail diseases.
  • Machine Learning Models: Training and evaluation of classification models for nail disease detection.
  • Educational Purposes: Resources for teaching medical students or researchers about nail diseases and their visual
    characteristics.