FiftyOne TutorialsΒΆ
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.
Exploring image uniqueness with FiftyOne
A dataset with predominantly unique data is going to give the best results during training. Furthermore, if very similar or duplicate data is present in both training and validation/test splits, evaluation results may not be reliable. This tutorial shows how FiftyOne can automatically find near-duplicate images in your datasets and recommend the most unique samples in your data to start your model training off right.
Finding label mistakes with FiftyOne
Better models start with better data. This tutorial shows how FiftyOne can automatically find possible label mistakes in your datasets.
