** Ringworm Disease Image Dataset (Raw)**

Description:

This dataset consists of **204 raw images of ringworm **(dermatophytosis) disease, a common fungal skin infection. The images capture various presentations of the infection on different body parts, including variations in shape, size, color, and severity. These images can be used for machine learning, medical image analysis, and skin disease classification research.

** Data Collection & Format:**

Total Images: 204
Image Type: Raw, unprocessed images
Format: Common image formats (e.g., JPG, PNG)
Resolution: Varies (dependent on original source)
Color Mode: RGB

** Potential Applications:**

Image preprocessing and enhancement for machine learning
Feature extraction for disease classification
Training deep learning models for automated skin disease detection
Comparative analysis with other dermatological conditions
Preprocessing Recommendations:

** Since the dataset consists of raw images, the following preprocessing steps are suggested before using them for machine learning:**

Image Resizing: Standardizing image dimensions for model training
Normalization: Adjusting pixel values for consistency
Augmentation: Applying techniques like rotation, flipping, or contrast adjustment to increase dataset diversity
Noise Reduction: Removing unwanted artifacts for better model accuracy