What I like most is that FiftyOne isn’t just a dataset viewer, it’s a real framework you can build on. For my Voxel51 × Twelve Labs hackathon project (CoachMe, an AI sports-coaching plugin), I built eight custom operators directly using FiftyOne’s plugin system. That operator framework let me connect video embeddings, similarity search, and AI feedback inside the App without having to build a UI from scratch. I also liked being able to store per-sample fields—like embeddings, similarity scores, and coaching validation results as native dataset fields, and then explore them visually in the App. That made the whole data-curation workflow feel tight and cohesive. Between the visual explorer and similarity indexing, I could quickly tag near-duplicates and spot coverage gaps in a reference video library. For a small team moving fast, the plugin architecture and the App’s out-of-the-box visualization saved me from writing a ton of infrastructure.

What I like best about FiftyOne is how accessible and well‑designed it is as an open‑source tool. I mainly use it in my research projects, and the platform makes it incredibly easy to explore datasets and understand their structure before moving on to modeling. The interface is one of the features I appreciate the most. Being able to visually browse samples, inspect labels, and quickly spot issues or patterns gives me a much clearer understanding of the data. Instead of writing extra scripts just to check what’s inside a dataset, the UI lets me interact with it directly and intuitively. This simple but powerful workflow has genuinely improved how I analyze data. It helps me validate ideas faster, experiment more comfortably, and stay focused on the research itself rather than on tooling overhead.

I use FiftyOne for embedding, geotagging, and evaluations for agriculture, and it streamlines the process while helping me maintain logging. I like the UI and its open-source nature, which makes it easy to add extensions. I've built custom tooling for my specific workflow that helps me connect and retrieve data daily and send emails to my team. The initial setup was good mostly.