FiftyOne

FiftyOne: Open-Source Computer Vision Dataset Tool

A robust computer vision dataset building tool for efficient management, labeling, augmentation, and analysis of image, text, video, and audio datasets.

What is FiftyOne?

FiftyOne is an open-source tool for building high-performance and robust computer vision datasets. It is designed to efficiently manage large-scale datasets, make datasets more robust through advanced data augmentation, streamline labeling and annotation workflows, analyze model predictions, and identify hard examples.

Key features of FiftyOne include:

• Dataset visualization - Explore images, labels, bounding boxes, segmentations, and predictions.
• Data augmentation - Apply transformations to generate new training samples.
• Efficient labeling - Annotate datasets with labels, bounding boxes, segmentations.
• Model evaluation - Upload model predictions to analyze performance.
• Scalability - Handle datasets with millions of samples.
• Extensibility - Plugin system to customize FiftyOne.

FiftyOne integrates closely with popular frameworks like PyTorch, TensorFlow, Scikit-Learn, and others. It can handle many common dataset formats out-of-the-box.

With its powerful dataset analysis capabilities, FiftyOne helps ensure model robustness by easily allowing practitioners to find label errors, identify underrepresented classes, detect dataset biases, and more.

FiftyOne Features

Official Links