The Social Media Picture Explorer allows users to explore social media by using state of the art machine learning techniques to cluster similar images and provide automatic object recognition. This allows users to navigate social media and attached pictures via visual similarity to ease sifting through large amounts of graphical data without the need for specialized language skills for meta-text descriptions.
The social media picture explorer backend is meant to be used in conjunction with the front end user interface project (https://github.com/ngageoint/social-media-picture-explorer-ui).
- Spark 1.2
- Anaconda Python
- NVIDIA DIGITS
##Origin
Social Media Picture Explorer was developed at the National Geospatial-Intelligence Agency (NGA) in collaboration with Booz Allen. The government has "unlimited rights" and is releasing this software to increase the impact of government instruments by providing developers with the opportunity to take things in new directions. The software use, modification, and distribution rights are stipulated within the Apache 2.0 License.
###Pull Requests If you'd like to contribute to this project, please make a pull request. We'll review the pull request and discuss the changes. All pull request contributions to this project will be released under the Apache 2.0 license.
Software source code previously released under an open source license and then modified by NGA staff is considered a "joint work" (see 17 USC 101); it is partially copyrighted, partially public domain, and as a whole is protected by the copyrights of the non-government authors and must be released according to the terms of the original open source license.