Picsellia |
| Description | V7 labs are an end-to-end computer vision development framework for teams creating image and video annotation products. Albert Rizzoli (CEO) and Simon Edwardson (CTO) founded the company in 2018, and it is based in London, United Kingdom. Using an intuitive UI or sophisticated API connections to manage datasets at ground-truth. Provides customers with configurable workflow phases and maintains crowdsourcing with hundreds of annotators. V7 claimed to have semi-automatically labeled over 1,000 photos and used video segmentation to curate datasets in less than a year. Healthcare, manufacturing, autonomous driving, sports, life sciences, and agri-tech are among V7's specialties. The Darwin Platform (from V7 laboratories) includes automatic picture annotation and neural network training with active learning, which provide pixel-perfect annotation 10 times faster than standard techniques. It facilitates team collaboration and visualization, and has resulted in a significant boost in the labeling process' efficiency and accuracy. It also scales well to meet the needs of users who require tight compliance and compatibility. The framework's active documentation gives information about each toolset, making it user-friendly. Read more | Labelbox is an online platform designed to save time by efficient creation and management of your training data, processes, and people- all in a single place. It enables you to create and manage your training data as fast as possible using its configurable platform. It has the ability to annotate your data, manage your people and processes and finally iterate on your results. With Labelbox’s intuitive interface and an automated workflow of labeling, users can quickly and accurately label their data. Users can additionally connect all of their management, staff, and processes all in one place using a central record system. Users can elevate their performance growth and accelerate their model training with quicker iterations that line perfectly with their model. To collaborate effortlessly and efficiently, Labelbox enables disparate teams- both external as well as internal. Users can also access various datasets and ontologies for their AI-related projects. It offers error detection, customer personalization, safety monitoring, and quality assurance apart from a free version for small teams and beginners and a paid one for professionals. Read more | Google Cloud AutoML is a custom platform that helps developers with limited machine learning experience gain access to various tools to create high-quality machine learning models specific to their ever-changing business needs. When you sign up above, new customers get $350 in credits to try AutoML and other products on Google Cloud. It works as a unified portal where users can deploy and scale more AI models on the go. It also allows creators to prepare a database of their own and use it to store information. Developers can use the platform to create machine learning models that detect objects in images and tell customers what they are and how many. Other essential functionalities available within the software are a seamless ML model deployment facility at the edge, streaming video analysis, REST API integration, immense dataset support, custom sentiment analysis, shot change detection, compatibility with 50+ languages, and custom model translation functionality. Read more |
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| Company Details | Located in: London, England Founded in: 2018 | Located in: San Francisco, California Founded in: 2017 |
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+44 20 3320 5000 |
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