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Photonvision: PhotonVision is the free, fast, and easy-to-use computer vision solution for the FIRST Robotics Competition. It is listed under Data & Analytics on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Photonvision. This is an automatic list. We have not written a researched verdict for Photonvision yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Open Source Computer Vision Library
OpenCV is the open source computer vision library, first released in June 2000 and now operated by the non profit Open Source Vision Foundation. It contains more than 2,500 algorithms for image and video processing, object detection, tracking and related tasks, with an emphasis on optimized, real time performance. It o...
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Label Studio is an open source platform for data labeling, AI evaluation and human in the loop workflows. It supports many data types in one tool, including images, video, audio, text, documents, time series and multi modal data, and is configured through customizable labeling interfaces. Typical jobs include computer...
Image annotation with Python.
Labelme is a desktop image annotation application for Windows, macOS and Linux that uses AI models running locally on the user's computer. It is made by the creator of the open source Labelme project, which began in 2016 and remains maintained. This listing covers the commercial application. Users open a folder of ima...
Build a complete experiment pipeline for your PyTorch MIP model in 10 seconds.
MIP Candy is an open source Python framework for medical image processing research, built by Project Neura. It provides ready to use training, inference and evaluation pipelines so researchers can prototype models without writing repetitive boilerplate. The tagline describes it as a candy for medical image processing a...
MOA is an open source framework for Big Data stream mining.
MOA, short for Massive Online Analysis, is an open source Java framework for machine learning on data streams, developed at the University of Waikato and related to the WEKA project. It is built for settings where data arrives continuously and models must learn incrementally, and a book about it has been published by M...
An open source tool to quantify the world
OpenDataCam is an open source tool that uses computer vision to detect, track and count moving objects in video. It recognizes more than 50 common object classes out of the box, including cars, trucks, buses, bikes, motorcycles and pedestrians, and users can train their own model for anything else. It is especially pop...