Label Studio
The most popular open-source data labeling platform for text, image, audio, and more
Open-source platform to curate, visualize and debug visual AI datasets
FiftyOne by Voxel51 is an open-source, data-centric platform for curating, visualizing and debugging computer-vision and multimodal datasets, with an enterprise edition for teams.
FiftyOne is a data-centric platform for building high-quality visual AI. It provides an interactive app and Python SDK to explore, filter and search large image, video and multimodal datasets using metadata, visual similarity and natural language, and to surface related or edge-case samples. Teams can evaluate model performance, trace poor metrics down to individual samples, and compare multiple models to understand and fix failures. Built on an open-source core with a plugin ecosystem, FiftyOne is widely adopted by computer-vision research teams and had over 10,000 GitHub stars as of 2026. Voxel51 also offers FiftyOne Enterprise (Teams) with collaboration, security and scaling, and has extended the platform toward physical AI with synchronized playback, curation and annotation for multimodal time-series data. It suits ML and computer-vision teams that want to improve dataset quality rather than just train on raw data.
FiftyOne by Voxel51 is an open-source, data-centric platform for curating and debugging visual AI datasets, with an enterprise edition for teams.
Voxel51 develops FiftyOne, an open-source platform for data-centric computer vision, alongside FiftyOne Enterprise for teams. The company is a well-known name in the computer-vision community, with FiftyOne widely used by research teams.
In 2026 Voxel51 extended FiftyOne toward physical AI and multimodal time-series data, reinforcing its focus on dataset quality as a competitive edge.
FiftyOne offers an interactive app and Python SDK to explore, search and filter large visual datasets, evaluate models and trace failures to specific samples. Its plugin ecosystem extends the core platform.
The enterprise edition adds collaboration, security, scaling and annotation, and the platform supports synchronized playback and curation for physical-AI data.
Voxel51 targets computer-vision and ML teams, from research labs to enterprises, that want to improve dataset quality and debug models.
Computer-vision engineers and ML researchers.
ML and data engineering leads.
CV researchers and open-source contributors.
Computer-vision and multimodal ML teams that need to curate, evaluate and debug datasets to improve model quality.
Voxel51 has raised venture funding to develop FiftyOne; verify the latest funding details with the company.
Yes, the FiftyOne core is open source and free, with a paid enterprise edition available.
Curating, visualizing, evaluating and debugging computer-vision and multimodal datasets.
Yes, it can evaluate models and trace poor metrics down to individual samples.
Primarily images and video, plus multimodal and time-series data for physical AI.
A paid edition adding collaboration, security, scaling and annotation for teams.
Side-by-side pages for pricing, features, and best-fit use cases.
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