FiftyOne
Accelerate your machine learning experimentation
FiftyOne launched on November 1, 2020 with 75 votes, #567 of 3,461 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 5 years on.
What it does
Good ML models require rapid iteration. FiftyOne helps you visualize and explore your datasets, identify key scenarios, and evaluate your models’ performance. Spend less time wrangling and more time on the science of building better ML models.
FiftyOne is the open-source tool for building high-quality datasets and computer vision models, with dataset visualization, curation, and model evaluation built in.
Everything you need to build, evaluate, and ship better computer vision models. Explore your data in the FiftyOne App. Browse images, videos, and 3D data side-by-side with labels, metadata, and model predictions — all in one interactive view. Reveal hidden structure in your data with embedding visualizations. Mine hard samples, find near-duplicates, and recommend the best data for annotation. Annotation mistakes create an artificial ceiling on model performance. Use FiftyOne to automatically identify possible label mistakes and correct them in-app. Aggregate metrics alone don't give you the full picture. FiftyOne makes it easy to see where your models succeed and fail so you can iterate…from docs.voxel51.com
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Open-source tool for rapid machine learning experimentation2020 · voxel51.com · ▲5FiftyOne is the open-source tool for building high-quality datasets and computer vision models, with dataset visualization, curation, and model evaluation built in.
FiftyOne – Explore, Analyze and Curate Visual Datasets2020 · github.com · ▲6Refine high-quality datasets and visual AI models. Contribute to voxel51/fiftyone development by creating an account on GitHub.



Fullstack ML – From Notebooks to Deployment2019 · github.com · ▲198Contribute to xadrianzetx/fullstack.ai development by creating an account on GitHub.
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