Dataset Management and Versioning Platform for AI Teams

Access the world's largest collection of datasets, ready to fuel your projects and innovations.
Unitlab AI dataset management interface
Graphic showing the text 'Datasets +750K' alongside an icon of server stacks and a database cylinder.
Statistic showing over 900 million images with an icon of two mountain peaks and a sun inside an orange square.

Search and Discover Training Datasets

Easily search and access the datasets you need with powerful tools and endless possibilities.

Find Datasets by Search Bar

Quickly locate the datasets you need using a powerful and intuitive search bar.

Screenshot of a dataset search interface showing dataset cards for Pet Instance Segmentation, Person Segmentation, Person and Face Detection, and Parking Lot Monitoring with preview images and metadata.

Find Datasets by Annotation Types

Easily locate datasets tailored to your needs by filtering based on specific annotation types.

Collage of computer vision techniques including bounding box, semantic segmentation, OCR, polygon detection, point annotation, image captioning, image classification with dog and cat labels, instance segmentation, and people skeleton tracking.

Create Governed Datasets in Three Steps

Follow simple, guided steps to create and customize your datasets with ease and precision.

01

Create a project

Create a project from zero or clone any other dataset.

02

Upload data and annotate them

Effortlessly upload your data and annotate it with powerful, user-friendly tools.

03

Release dataset

Publish datasets with multiple versions.

Dataset Version Control and Lineage

Manage your datasets efficiently with version control, enabling tracking, comparison, and seamless updates to ensure data integrity and consistency.

Control Your Dataset by Version

1. Full Dataset Control

Gain complete control over your datasets with advanced versioning features, ensuring smooth data management.

2. Track and Compare

Monitor changes, compare different versions, and manage updates effortlessly to maintain accuracy and consistency.

3. Reliable & Transparent Management

Keep your projects organized with structured, transparent dataset handling for improved integrity and reliability.

Illustration showing a dataset represented by a stack of three dark blue disks on the left, branching out to three smaller gray stacks labeled Version 3, Version 2, and Version 1 on the right.

Clone and Reuse Datasets

Quickly create projects by cloning existing datasets for a fast, consistent, and customizable setup.
Four images showing cars with blue overlays highlighting segmented car areas in various outdoor settings.
Three horizontal dashed arrows pointing right under the label 'Clone Dataset'.Three vertical dashed arrows pointing downward under the text 'Clone Dataset'.
Dashboard showing progress of car image segmentation with four segmented car photos and 20% label and review progress.

Monitor Active and High-Value Datasets

Explore the most popular and widely-used datasets shaping the latest advancements in AI.

Person Segmentation

Image Semantic Segmentation

Four images showing groups of people segmented in red: children and adults standing and walking outdoors in various settings.
Red square with a white box icon inside, symbolizing a filled box or package.
520
Three overlapping squares tilted diagonally with transparent center and blue outlines.
1
Versions: 0.1

Person and Face Detection

Image Bounding Box

Collage of six images showing people with purple facial recognition boxes engaged in various activities outdoors.
Red square with a white box icon inside, symbolizing a filled box or package.
5K
Three overlapping squares tilted diagonally with transparent center and blue outlines.
2
Versions: 0.4

Pet Instance Segmentation

Image Instance Segmentation

Four photos of cats: close-up of a tabby cat, side view of a cat near metal bars, an artistic cat stencil on a wooden surface, and two cats cuddling together.
Red square with a white box icon inside, symbolizing a filled box or package.
200
Three overlapping squares tilted diagonally with transparent center and blue outlines.
5
Versions: 0.1

Person and Face Detection

Image Bounding Box

Collage of four images showing diverse groups of people engaging in soccer, running, standing together, and walking outdoors with walking aids.
Red square with a white box icon inside, symbolizing a filled box or package.
10K
Three overlapping squares tilted diagonally with transparent center and blue outlines.
2
Versions: 0.3

Parking Lot Monitoring

Image Bounding Box

Aerial view of a parking lot with white, gray, and blue cars, highlighting empty parking spaces outlined in red.
Red square with a white box icon inside, symbolizing a filled box or package.
100
Three overlapping squares tilted diagonally with transparent center and blue outlines.
2
Versions: 0.1

Car Segmentation

Image Segmentation

Four side views of a car in different outdoor and urban settings with blue overlays highlighting the car shapes.
Red square with a white box icon inside, symbolizing a filled box or package.
200
Three overlapping squares tilted diagonally with transparent center and blue outlines.
1
Versions: 0.1

Human Pose Detection

Image Skeleton

Four panels showing soccer players in action with overlaid human pose estimation lines highlighting body joints on the field.
Red square with a white box icon inside, symbolizing a filled box or package.
2K
Three overlapping squares tilted diagonally with transparent center and blue outlines.
4
Versions: 0.2

X-Ray Segmentation

Image Segmentation

Four X-ray images of hands with colored overlays highlighting different bones and joints.
Red square with a white box icon inside, symbolizing a filled box or package.
155
Three overlapping squares tilted diagonally with transparent center and blue outlines.
28
Versions: 0.1

Donuts Instance Segmentation

Image Instance Segmentation

Four close-up views of pink frosted donuts with various toppings and textures.
Red square with a white box icon inside, symbolizing a filled box or package.
10K
Three overlapping squares tilted diagonally with transparent center and blue outlines.
2
Versions: 0.2
Do you want to download datasets?  Download here

Frequently Asked Questions

What is Unitlab AI?

Unitlab AI is an enterprise multimodal data platform for production AI. Teams use one governed workspace to curate, annotate, review, version, and manage training data across image, video, audio, text, documents, medical imaging, pathology, and geospatial data.

What data modalities does Unitlab support?

Unitlab supports image, video, audio, text, PDF and document data, DICOM and volumetric medical imaging, whole-slide pathology, and geospatial imagery. Connected data can also be organized and reviewed through multimodal annotation workflows.

How do data curation, annotation, and dataset management work together in Unitlab?

Teams can discover and prepare data, route selected items into annotation and review, then version and manage approved datasets without moving between disconnected tools. Ontologies, properties, lineage, and access controls remain consistent across the workflow.

How does Unitlab accelerate annotation with AI and custom models?

Unitlab supports AI-assisted pre-labeling, segmentation, object tracking, and repetitive labeling. Teams can also bring their own models, combine multiple model stages with human review, and edit or validate every prediction before approval.

How does Unitlab manage annotation quality and review?

Unitlab supports configurable review and approval stages, role-based assignments, issue and rework flows, validation rules, and complete annotation history. This gives teams governed quality assurance from initial labeling through dataset release.

Can Unitlab handle large and complex production datasets?

Yes. Unitlab is built for large multimodal datasets and demanding formats, including long video and audio, volumetric DICOM studies, whole-slide pathology, large geospatial imagery, and multi-page documents. Dataset versions, queues, and workflows keep long-running projects organized.

Can Unitlab run in the cloud or on premises?

Yes. Unitlab supports hosted and on-premises deployment options. On-premises deployments keep data within your controlled infrastructure, while hosted deployments use encrypted, isolated storage and role-based access controls. Contact Unitlab to review the deployment model that fits your security requirements.

Does Unitlab provide APIs, SDKs, and integrations?

Yes. Teams can connect data, cloud storage, models, and workflows through the Unitlab API, Python SDK, and CLI. Unitlab also integrates with common cloud and machine learning infrastructure so existing pipelines can remain in place.

Can I start free, and how does Unitlab pricing work?

Yes. You can start with Unitlab AI for free without a credit card. Paid plans are available for larger teams and datasets, advanced collaboration, security, storage, deployment, and workflow requirements.

Need help choosing the right workflow or deployment? Talk to the Unitlab team
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