Exploratory Data Analysis (EDA)

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Step 5.1: Visualize Class Distribution

  • Class Distribution: Visualize the number of images in each class.

    • Purpose: Identify any class imbalance, which could negatively impact model performance.
    • Visualization: Includes bar charts showing the distribution of Benign vs. Malignant and subtype classes.

    Sample Image Sample Image

Step 5.2: Display Sample Images

  • Sample Images: Display a few sample images from the dataset.

    • Purpose: Understand the nature of images (e.g., variations in color, size, quality).
    • Verification: Helps verify the correctness of labels and identify potential challenges (e.g., poor image quality).
    • Visualization: Displays a set of images with their respective labels.

    Sample Image