New Series A funding of $12.5M will be put toward further development of the FiftyOne Teams platform to manage and analyze unstructured data and doubling the company’s size by year-end.
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Voxel51 announced that it has raised $12.5M in Series A funding to improve the accuracy of computer vision AI models as well as large, unstructured image and video datasets.
Voxel51 has been named one of the top 20 fastest-growing open-source startups based on growth in GitHub stars for FiftyOne, the open-source tool for building high-quality datasets and computer vision models.
With advanced computer vision models and live public street cam video, a University of Michigan startup is tracking social distancing behaviors in real time at some of the most visited places in the world.
Voxel51 is using live, pre-existing cameras to track how preventative measures are being followed around the world. It uses artificial intelligence to give a window into social activity in popular public spaces, and “scores” areas based on social behaviors.
Voxel51, a computer-vision startup, this week released a free AI tool that it said can analyze live video feeds of public spaces such as Times Square and quantify human crowdedness over time.
Voxel51 CEO Jason Corso teaches computer vision at the University of Michigan. CTO Brian Moore was his student when he was doing his Ph.D. in machine learning, and after some brainstorming, the two decided to combine their skills and build an AI video analytics platform.
Voxel51 has raised $2 million for its AI-Powered Video Understanding Platform. Jason Corso, CEO of Voxel51, joined Cheddar to discuss how many applications his company’s technology can have.
Honestly, the creativity and quality of early-stage startups and their founders never ceases to amaze us. Our editors dug in and managed to narrow the field to the startups they felt best represent their specific category.
An Ann Arbor-based artificial intelligence startup that turns video footage into ready-to-use data for cities, security and the auto industry raised $2 million in a recent seed round.
Voxel51 offers a machine learning-based option that chews through video and labels it, not just with simple image recognition but with an understanding of motions and objects over time.
Voxel51 today launched its flagship product— a software platform designed to make it easier, faster and more affordable to access the untapped potential of video data.
Computer vision startup Voxel51, led by UM professor, has developed a cloud-based analytics platform that can help autonomous vehicles make sense of what’s on the road.
Funding round will be used to accelerate R&D for data-centric machine learning solutions
“FiftyOne” Helps Data Scientists Tackle Data Quality Limitations that Impact Predictive Performance of Image-Based Machine Learning Models
Voxel51’s Open Source Tool “FiftyOne” Enables Rapid Dataset Analysis to Improve Quality, Accuracy and Diversity of Computer Vision Datasets & Model Performance
Interactive AI-Powered Tool Allows Users to Watch Live Street Cams and Explore How COVID-19 Has Changed Social Behavior in Real Time
Voxel51 Selected as AI Top Pick at TechCrunch Disrupt 2019
AI for Video Pioneer Launches Video Analytics Platform for Automotive, Smart City and Security Applications
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