kakumarabhishek/Corrected-Skin-Image-Datasets
Data quality analysis of DermaMNIST (MedMNIST), HAM10000, and Fitzpatrick17k datasets
This project helps medical researchers and AI model developers ensure the quality of dermatological image datasets used for training diagnostic AI. It analyzes widely-used skin image collections like DermaMNIST, HAM10000, and Fitzpatrick17k to identify and correct issues like duplicates or mislabeled images. The output is a set of cleaned and enhanced metadata files, ready for building more reliable AI models.
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Use this if you are a medical researcher or AI developer working with skin image datasets and need to verify or improve their quality before training AI models for dermatological diagnosis.
Not ideal if you are looking for new, raw dermatological image data or a tool for real-time image analysis.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Feb 13, 2025
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