
Lightly
The data curation and active learning platform for computer vision.

The open-source tool for building high-quality datasets and computer vision models.
The open-source tool for building high-quality datasets and computer vision models.
FiftyOne is a powerful open-source platform designed to improve visual AI and computer vision workflows. It enables users to visualize, curate, and evaluate datasets and models more effectively. The platform supports various data types, including 2D images, 3D point clouds, videos, and multimodal datasets. By putting data at the center of the workflow, FiftyOne helps users identify high-performing samples, weed out low-quality data, and organize dataset views intuitively. Key features include tools for data curation and management, smarter annotation, model evaluation, and integration with existing ML stacks. Enterprises use FiftyOne to improve model accuracy, reduce development time, and boost team productivity by facilitating data-centric AI development.
The open-source tool for building high-quality datasets and computer vision models.
Quick visual proof for FiftyOne. Helps non-technical users understand the interface faster.
FiftyOne is a powerful open-source platform designed to improve visual AI and computer vision workflows.
Explore all tools that specialize in annotate data. This domain focus ensures FiftyOne delivers optimized results for this specific requirement.
Explore all tools that specialize in data annotation. This domain focus ensures FiftyOne delivers optimized results for this specific requirement.
Open side-by-side comparison first, then move to deeper alternatives guidance.
Unifies diverse data types (images, videos, 3D, metadata) into a single, manageable view. Supports importing data from various sources and formats, enabling a holistic approach to data analysis.
Provides powerful tools to slice, search, and filter massive datasets based on metadata, embeddings, or custom criteria. Supports complex queries for retrieving relevant samples.
Leverages embeddings to reveal hidden data structures, mine hard samples, and pre-annotate data. Enables visualization of high-dimensional data in a low-dimensional space.
Offers interactive tools to visualize and explore datasets, including embeddings, dashboards, and analytics. Provides a user-friendly interface for data exploration.
Allows users to define custom metadata fields and schema, custom workflows, data quality metrics, and embeddings. Provides flexibility to adapt to specific data requirements.
Install FiftyOne via pip: `pip install fiftyone`
Import the FiftyOne library in your Python environment: `import fiftyone as fo`
Create a FiftyOne dataset or load an existing one: `dataset = fo.Dataset(name='my_dataset')`
Visualize the dataset in the FiftyOne App: `session = fo.launch_app(dataset)`
Explore the dataset, filter samples, and analyze model predictions using the FiftyOne App's interactive tools
Integrate FiftyOne into your existing ML workflows by using its API for data curation, model evaluation, and annotation tasks
Customize and extend FiftyOne's functionality using plugins and integrations with other tools in your stack
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“FiftyOne is praised for its data visualization and model evaluation capabilities, enabling faster and more effective AI development.”
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The data curation and active learning platform for computer vision.
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