Visual Search using features extracted from Tensor Flow inception model
Visual Search using features extracted from Tensor Flow inception model launched on January 28, 2016 with 75 votes, #818 of 4,523 launches that month and more than 90% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
This tool uses Google's TensorFlow Inception model to extract visual features from images and enables searching based on those features. It's designed for developers and researchers working with computer vision who need to find visually similar images. The project leverages deep learning to analyze and compare image characteristics, making it useful for applications requiring content-based image retrieval without relying on metadata or tags.
written from the facts on this page · September 2026
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