Voxel51 is the company behind FiftyOne, the open source toolkit for building high-quality datasets and computer vision models. Explore, search, and slice your datasets. Quickly find the samples and labels that match your criteria. Use FiftyOne’s tight integrations with public datasets like COCO, Open Images, and ActivityNet, or create your own datasets from scratch. Data quality is a key limiting factor on model performance. Use FiftyOne to identify, visualize, and correct your model's failure modes. Annotation mistakes lead to bad models, but finding mistakes by hand isn’t scalable. FiftyOne helps automatically find and correct label mistakes so you can curate higher quality datasets. Aggregate performance metrics and manual debugging don’t scale. Use the FiftyOne Brain to identify edge cases, mine new samples for training, and much more. Data scientists spend up to 65% of their time wrangling and evaluating data. With FiftyOne, build data-centric pipelines that surface the high quality data that production-ready models need.

Headquartered in Ann Arbor, Michigan, and founded in 2016 by University of Michigan professor Dr. Jason Corso and Dr. Brian Moore, Voxel51 is an AI software company that enables computer vision data scientists to rapidly curate and experiment with their datasets in order to build higher performing machine learning systems. High-quality, diverse datasets are the key to training better models. So why does everyone focus so intently on the model? Your training data needs your attention! Backed by years of computer vision and machine learning research, our powerful tool, FiftyOne—now open-source and publicly available, helps you dig into your datasets with ease and intent.