This project focuses on automating the image classification pipeline using machine learning techniques. It includes data preprocessing, feature extraction, model training with AutoML, and performance evaluation. The pipeline leverages Python libraries such as NumPy, Pandas, PyTorch, and scikit-learn to handle image datasets efficiently.
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This project focuses on automating the image classification pipeline using machine learning techniques. It includes data preprocessing, feature extraction, model training with AutoML, and performance evaluation. The pipeline leverages Python libraries such as NumPy, Pandas, PyTorch, and scikit-learn to handle image datasets efficiently.
dac101/Image-Classification-AutoML
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This project focuses on automating the image classification pipeline using machine learning techniques. It includes data preprocessing, feature extraction, model training with AutoML, and performance evaluation. The pipeline leverages Python libraries such as NumPy, Pandas, PyTorch, and scikit-learn to handle image datasets efficiently.
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