CBIR System Enhancement with Machine Learning
Rachid Benoudi
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ML Engineer
OpenCV
Python
PyTorch
Enhance existing CBIR system by integrating machine learning models to improve image retrieval accuracy based on content similarity.
Extend current CBIR system to incorporate machine learning algorithms (e.g., CNNs, feature extraction techniques).
Train models on a dataset to learn features that enhance retrieval accuracy.
Implement a GUI using PyQt for users to query images and retrieve similar images based on learned features.
Evaluate and fine-tune the system’s performance using metrics like precision, recall, and F1-score.
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Posted Jul 14, 2024
The CBIR System Enhancement with Machine Learning project aims to elevate the functionality and accuracy of a Content-Based Image Retrieval (CBIR) system.
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ML Engineer
OpenCV
Python
PyTorch
Rachid Benoudi
Python Developer | Computer Vision Engineer
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