Skin Disease Classification Model and Python Coding for Data Collection and Analysis
Budget: $15 – $25 USD
We are looking for an experienced data scientist or machine learning engineer to assist us in building a skin disease classification model and creating a Python program for data collection and analysis using a camera. The project will use the dataset available at https://www.kaggle.com/datasets/andrewmvd/isic-2019.
The objective of the project is to create a model that can accurately classify various types of skin diseases, such as melanoma, nevus, and seborrheic keratosis. The model should be able to identify and differentiate between these diseases with high accuracy. Additionally, we need help in creating a Python program that can capture images of skin lesions and extract relevant features for use in the classification model.
The ideal candidate should have a strong background in machine learning, computer vision, and image processing, with experience in data preprocessing, feature extraction, and model selection. Experience in working with medical image datasets and knowledge of skin diseases would be a plus. Additionally, the candidate should have experience in working with the Python programming language and relevant libraries, such as OpenCV.
If you're interested in this project, please provide us with your relevant experience and a proposal outlining your approach to building the classification model and the data collection and analysis program.
We look forward to hearing from you.
The objective of the project is to create a model that can accurately classify various types of skin diseases, such as melanoma, nevus, and seborrheic keratosis. The model should be able to identify and differentiate between these diseases with high accuracy. Additionally, we need help in creating a Python program that can capture images of skin lesions and extract relevant features for use in the classification model.
The ideal candidate should have a strong background in machine learning, computer vision, and image processing, with experience in data preprocessing, feature extraction, and model selection. Experience in working with medical image datasets and knowledge of skin diseases would be a plus. Additionally, the candidate should have experience in working with the Python programming language and relevant libraries, such as OpenCV.
If you're interested in this project, please provide us with your relevant experience and a proposal outlining your approach to building the classification model and the data collection and analysis program.
We look forward to hearing from you.