Search Results for "classification"

PhotoPrism® is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud. Our mission is to provide the most user- and privacy-friendly solution to keep your pictures organized and accessible. That's why PhotoPrism was built from the ground up to run wherever you need it, without compromising freedom, privacy, or functionality.

Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.

Tag folders and files (including multimedia) by dragging the tags on them, you can create tags of various shapes and colors for a more intuitive classification. Precise search possibilities, with various input fields, allowing to add all the necessary tags that you want. For example, in one field you can add the tags ‘cat' and 'white' and in another field you can add the tags 'dog' and 'brown', so the search result will return all white cats and brown dogs. You can also indicate that the folders where they are must have certain tags. ...

The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and extensive documentation and a wiki help fill in the details. The Accord.NET project provides...

MORphological PHenotype Extraction (MORPHE) is a suite of automated image processing, visualization, and classification algorithms to facilitate the analysis of heritable and clonal red-to-green transitions that occurred during the growth of a colony.

RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition. full installation and usage instructions given at http://sourceforge.net/p/rnnl/wiki/Home/

I am no longer working on PhotoDirectory; I have changed my digital photo workflow, and am now relying on embedded metadata as the primary classification method, with directory structure for easier browsing. See http://image-tagger.sourceforge.net

System for image preprocessing, analysis, processing, classification, object extraction. It also works with other media like videos ...