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Opencv: Open Source Computer Vision Library. 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 Opencv. This is an automatic list. We have not written a researched verdict for Opencv 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.
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...
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
OpenVINO is an open source toolkit from Intel for deploying AI models across cloud, AI PCs, edge devices and robotics. It converts, optimizes and runs inference on models from popular frameworks, with the aim of getting the most out of Intel hardware. The documentation describes four main tools. The base package runs ...
PhotonVision is the free, fast, and easy-to-use computer vision solution for the FIRST Robotics Competition.
PhotonVision is a free, open source computer vision system built for the FIRST Robotics Competition. Teams download an image for a supported coprocessor and can begin tracking targets within minutes, without needing deep vision expertise or a large budget. The feature set covers the tasks robot teams commonly need. It...
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...
nannyml: post-deployment data science in python
NannyML is a post deployment monitoring product for machine learning models. Its core idea is to estimate model performance when ground truth labels are delayed or missing, so a team can see how a model is doing and be alerted when performance drops rather than when data merely drifts. The company says this cuts false ...