CloudCV: Large Scale Distributed Computer Vision as a Cloud Service
Harsh Agrawal, Clint Solomon Mathialagan, Yash Goyal, Neelima Chavali,, Prakriti Banik, Akrit Mohapatra, Ahmed Osman, Dhruv Batra

TL;DR
CloudCV is a cloud-based platform that democratizes access to large-scale distributed computer vision algorithms via web interfaces and APIs, simplifying complex infrastructure and algorithmic challenges for users.
Contribution
It introduces a comprehensive cloud service that makes state-of-the-art distributed computer vision algorithms accessible without requiring expertise in big data or distributed computing.
Findings
Provides scalable access to computer vision algorithms
Simplifies deployment of distributed vision systems
Enables broader research and application development
Abstract
We are witnessing a proliferation of massive visual data. Unfortunately scaling existing computer vision algorithms to large datasets leaves researchers repeatedly solving the same algorithmic, logistical, and infrastructural problems. Our goal is to democratize computer vision; one should not have to be a computer vision, big data and distributed computing expert to have access to state-of-the-art distributed computer vision algorithms. We present CloudCV, a comprehensive system to provide access to state-of-the-art distributed computer vision algorithms as a cloud service through a Web Interface and APIs.
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