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Labelme: Image annotation with Python. 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 Labelme. This is an automatic list. We have not written a researched verdict for Labelme 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.
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...
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...
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...
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 ...
Tribuo - A Java machine learning library
Tribuo is an open source machine learning library written in Java and maintained by Oracle. It gives Java developers a single, strongly typed interface for classification, regression, clustering, anomaly detection and multi label classification, along with tools for model development and evaluation. The library wraps ...
Machine Learning in R
The mlr package is a machine learning framework for the R programming language. It provides a single interface to a large number of classification, regression, survival analysis and clustering methods, so users do not need to write separate wrappers for each algorithm in R. Around that interface it supplies the surrou...