Voxel51

**Voxel51: Open-Source Toolkit for Vision and Machine Learning**

Open-source toolkit for computer vision and machine learning

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What is Voxel51?

Voxel51 is an open-source computer vision toolkit that empowers machine learning engineers to build better computer vision datasets and models quickly. It offers tools like FiftyOne for enhancing dataset quality and providing insights into models.

How to use Voxel51?

To make the most out of Voxel51, start by exploring, searching, and slicing datasets with FiftyOne. Curate high-quality datasets from scratch or integrate with public datasets. Identify and correct model failure modes for better model training. Use the FiftyOne Brain for advanced capabilities like identifying edge cases and improving workflows for faster production.

Voxel51's Core Features

Visualize and explore datasets

Curate high-quality datasets

Identify and correct model failure modes

Utilize the FiftyOne Brain for advanced capabilities

Voxel51's Use Cases

Organizing and sharing datasets for collaboration

Improving data quality and model performance

Enhancing training datasets and model predictions

Facilitating dataset management across teams for improved visibility

FAQ from Voxel51

What is Voxel51?

Voxel51 is an open-source computer vision toolkit that empowers machine learning engineers to build better computer vision datasets and models quickly. It offers tools like FiftyOne for enhancing dataset quality and providing insights into models.

How to use Voxel51?

To make the most out of Voxel51, start by exploring, searching, and slicing datasets with FiftyOne. Curate high-quality datasets from scratch or integrate with public datasets. Identify and correct model failure modes for better model training. Use the FiftyOne Brain for advanced capabilities like identifying edge cases and improving workflows for faster production.

What is FiftyOne Teams and how can it benefit my team?

FiftyOne Teams provides collaborative features for managing datasets in the cloud, enabling secure collaboration on large datasets. It helps improve dataset organization, data sharing, and hypothesis validation, leading to better solution engineering and testing.

How does FiftyOne help with annotation mistakes?

FiftyOne helps automatically find and correct label mistakes in datasets, ensuring higher quality annotations. This process saves time and effort compared to manual review and correction, resulting in curated datasets for improved model training.

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