Nearest Neighbor Embeddings Search with Qdrant and FiftyOne
Learn how to perform a nearest neighbor search on a large computer vision dataset with two open source tools: Qdrant and FiftyOne.
Author: Eric Hofesmann
Meetup Recap: How to Build High-Quality Machine Learning Datasets and Computer Vision Models
Get a recap of the presentation at the MLOps Meetup: How to Build High-Quality Machine Learning Datasets and Computer Vision Models.
The Kinetics Dataset: Train and Evaluate Video Classification Models
Here’s your guide to using open source FiftyOne to download and visualize the Kinetics dataset and evaluate video understanding models.
How to Download ActivityNet and Evaluate Video Understanding Models
Check out this tutorial on downloading, visualizing, and evaluating models on the ActivityNet dataset using FiftyOne.
How to Train Your Dragon (Detector)
Here’s a guide to building high-quality deep learning datasets and computer vision models using FiftyOne and ClearML.
How to Curate, Annotate, and Improve Computer Vision Datasets with FiftyOne and Labelbox
Learn how to use the integration between FiftyOne and Labelbox to build high-quality image and video datasets.
The COCO Dataset: Best Practices for Downloading, Visualization, and Evaluation
FiftyOne now has native support for COCO, making it easy to work with dataset, visualize model predictions & evaluate models with COCO-style evaluation.
Loading Open Images V6 and Custom Datasets with FiftyOne
FiftyOne allows for easy loading & visualization of Open Images v6 or any image dataset and its labels. Learn more in this tutorial.