10+ Best Data Labeling Softwares 2023

Labelbox, which was established in 2017, believes that artificial intelligence has the ability to alter every part of our lives, from healthcare to agriculture. The company has established a training data platform that works as a center for people to interact with AI, rather than requiring firms to develop their own expensive and incomplete solutions.

Diffgram was founded in 2018 by California-based tech entrepreneur Anthony Sarkis as an annotation platform. It has since grown into a dataset management platform for artificial intelligence, making it simple to handle, store, and retrieve data. Diffgram has made significant developments in recent years, always keeping its clients in mind, and it may have found its unique place.

CloudFactory, launched in 2010, is a platform for data-intensive procedures that enables technology businesses to include human-powered features into their software platforms. It provides services such as data annotation, computer vision, natural language processing, and data processing. Education, retail, transportation, agriculture, manufacturing, and other areas are served by the company.

Clarifai, founded in 2013 by Matthew Zeiler, who is a leading expert in machine learning, has been a market leader since winning the top five places in image classification at the ImageNet 2013 competition. Clarifai helps with the entire artificial intelligence development process, from dataset preparation to model training and deployment.

With V7, vision AI can learn constantly from training data with little human intervention. In 2018, the London-based business revealed V7 Darwin, an image labeling platform that creates training data for computer vision projects with little or no human input. It has semi-automatically annotated over 1,000 image and video segmentation datasets in its first year of release.

Playment is a data labeling platform that assists machine learning engineers in creating high-quality ground truth datasets for training and verifying models. It divides complex problems into micro-tasks and distributes them across a large group of qualified annotators. It was created in 2015 and now employs over 200 skilled workers.

Hive, a pioneering artificial intelligence platform specializing in computer vision and deep learning, was founded in 2013. Hive is dedicated to providing practical AI solutions and data labeling to innovators across industries; all are based on the high-quality visual and audio metadata available. With over 2 million registered contributors worldwide, Hive is the world's largest distributed data labeling platform.

Datasaur is a company that creates useful tools for data labeling. It allows users to assign various colleagues to the same project and utilize a specialized review tool to swiftly detect areas of disagreement. Furthermore, its built-in artificial intelligence detects costly mistakes. The company was created in 2019 and is based in Sunnyvale, California.

Eran Shlomo, Avi Yashar, and Nir Buschi co-founded the Dataloop platform in 2017, which accelerates the process of processing visual data for machine learning. It allows businesses to focus their attention on their main business by removing data issues. According to the company's aim, machine learning-based technologies should be accessible, affordable, and scalable for everyone.

In 2018, brothers Tigran and Vahan Petrosyan left their PhD to create SuperAnnotate, believing there was a better method to drive AI research and that computer vision can be expedited for a wide range of applications to improve people's lives. SuperAnnotate serves over 200 businesses, including 20% of the Fortune 20, as well as over 10,000 computer vision enthusiasts.