"FiftyOne enables researchers to analyze and improve the quality of their datasets rapidly, replacing the weeks of manual labor that would otherwise be required without this technology. High-quality data is critical to the success of machine learning systems. Without the right tools to analyze and curate datasets, machine learning development can be inefficient and ineffective.”

Jordi Pont-Tuset

Research Scientist at Google

“FiftyOne is our primary resource for machine learning research. Thanks to FiftyOne's convenient field visualizations and filtering capabilities, we can easily distinguish incorrect labels and predictions, and therefore iterate on models faster than ever. As a result, we've achieved a 77% reduction in images sent for manual verification.”

Ryan Szeto

Senior Computer Vision Engineer at SafelyYou

“As we developed our Florence-2 model, FiftyOne proved invaluable for data management and visualization. Its powerful capabilities helped streamline our workflow, ensuring we built a robust foundation for our models. Now, as we dive into the development of Florence-5B, we're relying on FiftyOne more than ever. The tool's intuitive interface and rich feature set are essential for effectively managing our large datasets and gaining critical insights.”

Bin Xiao

AI Researcher, Meta (formerly Principal Research Manager, Microsoft GenAI)

“FiftyOne has helped us speed up investigations by 3x. For example, if we see a wrong suction cup grasping an item, we can quickly visualize the issue across all data sources and identify what went wrong.”

Dimitry Pechyoni

Senior Principal Machine Learning Engineer at Berkshire Grey

"Data visualization is crucial for understanding model performance during training and validation. FiftyOne provides built-in features, plugins, and automated pipelines that help you analyze inference outputs effectively."

Tin Stribor Sohn

Technical Lead Vehicle Data Analytics Automated Driving at Porsche AG

Doctoral Candidate at Karlsruhe Institute of Technology

“We use FiftyOne to organize large research datasets. My favorite feature is the ability to view distributions over image attributes in the dataset, and filter the dataset by those attributes.”

Brett Israelsen

Principal Research Scientist, AI, Raytheon

“FiftyOne completely streamlined my workflow. Instead of manually clicking through images and masks, I can now view, compare, and tag everything in one place. It’s made data evaluation so much easier and more efficient.”

Navjot Singh

Precision Ag Tech, Texas A&M University

"FiftyOne has been a game-changer for our fieldwork. We built a local user interface for data analysis using FiftyOne, which empowers our scientists to better understand automatically sorted insect data and efficiently retrain machine learning models. One of the standout benefits is its ability to run completely offline, without the need for internet access or cloud storage. This is absolutely critical for field scientists working in remote locations. It’s a tool that truly meets us where we are.”

Dr. Andrew Quitmeyer

Digital Naturalism Lab

“FiftyOne has allowed me to efficiently organize and visualize data, which is key in research. I have used it in several projects to analyze datasets before training. In a recent person re-identification project, I’m creating a new dataset and utilized the FiftyOne embedding visualization feature to perform clustering on my data and optimize labeling. Its simplicity and power make it possible to explore data with just a few lines of code. It’s a tool that saves time and helps focus on strategic tasks. I recommend it to any researcher looking to optimize their workflow.”

Carlos Hinojosa

Post-Doctoral Fellow at KAUST

“FiftyOne streamlines the process of visualizing, exploring, and filtering data, enabling quick identification of duplicates and mislabeled samples.”

Rıza Velioğlu

PhD Researcher at Bielefeld University

“FiftyOne helped me drastically reduce the time needed to validate inferences in a large-scale aerial imagery project. I was identifying solar panels across North Carolina using high-resolution aerial imagery. By saving inference outputs as image tiles and leveraging FiftyOne's clustering capabilities, I could visually explore data cluster by cluster instead of image by image. This streamlined the validation process and saved hours of manual work. Having all the tools—visualization, high-dimensional clustering, and model inspection—in one web-based interface made a huge difference in simplifying my workflow.”

Kshitiz Khanal
Research Associate at the Institute for Transportation Research and Education at NC State University