Select the best model for your ML task with 3 delicious tools that should be in your AI stack: Hugging Face, Weights & Biases, and FiftyOne.
Author: Eric Hofesmann
Learn how to perform a nearest neighbor search on a large computer vision dataset with two open source tools: Qdrant and FiftyOne.
Get a recap of the presentation at the MLOps Meetup: How to Build High-Quality Machine Learning Datasets and Computer Vision Models.
Here’s your guide to using open source FiftyOne to download and visualize the Kinetics dataset and evaluate video understanding models.
Check out this tutorial on downloading, visualizing, and evaluating models on the ActivityNet dataset using FiftyOne.
Learn how to use the integration between FiftyOne and Labelbox to build high-quality image and video datasets.
FiftyOne now has native support for COCO, making it easy to work with dataset, visualize model predictions & evaluate models with COCO-style evaluation.
FiftyOne allows for easy loading & visualization of Open Images v6 or any image dataset and its labels. Learn more in this tutorial.