FiftyOne Tutorials¶

Welcome to FiftyOne tutorials!

Each tutorial below is a curated demonstration of how FiftyOne can help refine your datasets and turn your good models into great models.

Evaluating object detections

Aggregate statistics aren't sufficient for object detection. This tutorial shows how to use FiftyOne to perform powerful evaluation workflows on your detector.

Model-Evaluation

Evaluating a classifier

Evaluation made easy. This tutorial walks through an end-to-end example of fine-tuning a classifier and understanding its failure modes using FiftyOne.

Model-Evaluation

Using image embeddings

Visualize your data in new ways. This tutorial shows how to use FiftyOne's powerful embeddings visualization capabilities to improve your image datasets.

Visualization,Brain

Downloading and evaluating Open Images

Expand your data lake and evaluate your object detection models with Google's Open Images dataset and evaluation protocol, all natively within FiftyOne.

Dataset-Evaluation,Model-Evaluation,Dataset-Zoo

Exploring image uniqueness

Your models need diverse data. This tutorial shows how FiftyOne can remove near-duplicate images and recommend unique samples for model training.

Getting-Started,Dataset-Evaluation,Brain

Finding classification mistakes

Better models start with better data. This tutorial shows how FiftyOne can automatically find label mistakes in your classification datasets.

Dataset-Evaluation,Brain

Finding detection mistakes

How good are your ground truth objects? Use the FiftyOne Brain's mistakenness feature to find annotation errors in your object detections.