Overview of Image Retrieval Applications for Finding Images by Visual and Text Features

 Here are a few examples of image retrieval applications:

1. Google Images: A popular image search engine that allows you to search for images using keywords and filters, such as color, size, and type. Google Images uses a combination of text and visual features to match images to search queries.

2. TinEye: A reverse image search engine that allows you to find where an image appears online or to search for similar images based on visual features. TinEye uses image recognition technology to analyze the content of images and identify matches.

3. Clarifai: An image and video recognition platform that allows you to search for images based on visual features such as color, texture, and object category, as well as text features such as captions and tags. Clarifai uses deep learning models to extract and analyze visual and textual features from images.

4. Microsoft Bing Visual Search: A search engine that allows you to search for images using visual and text features, such as color, object category, and image similarity. Bing Visual Search uses deep learning models to analyze visual features and search algorithms to find similar images.

5. Amazon Rekognition: An image and video analysis service that allows you to search for images based on visual features such as faces, objects, and scenes, as well as text features such as captions and tags. Amazon Rekognition uses deep learning models to extract and analyze visual and textual features from images.

   
   

   
   

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