The "Image Retrieval and Classification with Latent Semantic Features" project focuses on retrieving and classifying images based on their latent semantic features. It incorporates various models and techniques to extract, analyze, and classify images in a meaningful and efficient manner.
The purpose of this project is to showcase the capabilities of latent semantic analysis in image retrieval and classification. By extracting latent semantic features from images and applying dimensionality reduction techniques, the project aims to enhance image organization, retrieval, and classification based on their visual and semantic characteristics.
By leveraging latent semantic features and advanced analysis techniques, the "Image Retrieval and Classification with Latent Semantic Features" project offers a powerful framework for organizing, retrieving, and classifying images based on their latent semantic representations.