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Openvino: OpenVINO™ is an open source toolkit for optimizing and deploying AI inference. 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 Openvino. This is an automatic list. We have not written a researched verdict for Openvino 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...
Visualizer for neural network, deep learning and machine learning models
Netron is a viewer for neural network, deep learning and machine learning models. It opens a model file and draws its graph so developers and researchers can inspect the layers, operators and structure of a model, which is useful when debugging, converting or documenting models. The viewer supports ONNX, TensorFlow Li...
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...
The backend agents build with - Multimodal database, orchestration, and serving in one file
Pixeltable is a unified multimodal backend that combines a database, orchestration and serving in a single Python file. It is designed for applications that process images, video, audio and documents alongside ordinary columns, and for the agents and AI pipelines built on top of that data. A developer declares tables ...
A platform for end-to-end development of machine learning solutions in biomedical imaging
Grand Challenge is a non profit cloud platform for developing, benchmarking and deploying machine learning solutions in biomedical imaging. It is built for researchers, clinicians and developers working across radiology, pathology and ophthalmology, with support expanding to modalities such as genomics and cardiology. ...