Voxel51

““Voxel51's embeddings and similarity search is what we lean on to catch near-duplicates and coverage gaps before spending annotation budget.””

““It's been helpful to bring up Voxel51 in these calls where we do huddles and look at the results of some models beyond just the metrics, to get a qualitative assessment really quickly for any arbitrary subset.””

““It's very difficult to see the general picture of the quality of labels which we get. With Voxel51, it's much easier to see different patterns and to look at the data as a whole, not just specific chunks of images which were labeled.””

““If we had to create our own scripts or use a different application where we need to copy the data, it would definitely have led to lots of rework. With the existing data connectivity, we were directly able to visualize our model results and ground truth with filters in the Voxel51 UI.””

““We chose Voxel51 because we have a limited number of data scientists here at ThreeV, and we don't want to spend most of the time loading the images and wasting our time in the basic I/O operations and QA operations.””

“FiftyOne gives us the ability to quickly observe and explore data in different ways - finding outliers and ensuring data consistency across the datasets we possess. And we had the requirement to be able to do it from a script, not just a UI.”

“FiftyOne has become an important element of our dataset and model development pipeline. Since incorporating the tool into our workflows, we gained a better overview over what data is the best to be used to train and evaluate our models. As a result, we can deliver continuous dataset optimizations into production faster, as our model training pipelines read data directly from FiftyOne”