Press Category: In the News

Voxel51 recently open-sourced VoxelGPT, an AI assistant that interfaces with GPT-3.5 to produce Python code for querying computer vision datasets.

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.

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.