Choose a plan and start building better datasets with Segments.ai.
Interested in labeling-as-a-service? Let us connect you to our expert labeling partners
Are you a student or researcher? Request a free academic license
Ideal for companies building their first datasets with a data-centric approach
Billed yearly
Includes 3,600 hours/yr of labeling usage (equivalent to $2.67/hour)
Contact salesUnlimited seats
We provide unlimited seats for your engineers, project managers, labeling workforce or customers.
Unlimited API & SDK access
Leverage our API or SDK for your integrations with no limits. Also have a look at our SDK quickstart.
Unlimited image, point cloud and sequence uploads
No limit on any uploads
Image, point cloud and sequence interfaces
Use images interfaces for bitmap segmentation or bounding boxes, polygons, keypoints and polylines.
Use 3D point cloud interfaces for cuboid labeling or segmentation.
Leverage keyframe interpolation and track IDs in image or point cloud sequences.
ML-powered labeling tools
Use our proprietary ML-powered labeling tools such as Superpixels and Autosegment.
Cloud bucket integrations
Set up integration with your AWS, Google or Azure buckets
Images with unlimited resolution and point clouds of up to 500,000 points each
Upgrade to enable point clouds with unlimited sizes
Active learning + model assisted labeling pipelines
Upload priorities to indicate which data to label first and upload model predictions to speed up labeling
QA and organization management solutions
Use labeling and reviewing workflows, communicate using issues and manage your datasets within your organization
Access to experienced labeling workforce
Leverage our experienced workforce to label your data
Mail, Slack & Discord support
Get offline help via your preferred channel
Ideal for advanced setups requiring multi-sensor labeling
Billed yearly
Includes 20,000 hours/yr of labeling usage
Contact salesAll Team functionality, plus ...
Point clouds and images with unlimited size and resolution
Using our proprietary tiling technology, you can upload point clouds of any size and dynamically merge, visualize and label point clouds simultaneously. Reach out for a demo.
Sensor fusion interfaces
Label 2D and 3D modalities simultaneously. Reach out for examples
Extensive integration support for advanced pipelines
Get support from a Segments.ai engineer to set up your integrations and pipelines.
Webhooks system
Set up webhooks to listen for events on your account and automate your pipeline.
Priority Support
Receive offline and online priority support from Segments.ai management team
Metric dashboards
Get access to fixed metric dashboards leveraging Metabase
Ideal for advanced automation and custom solutions
Billed yearly
Includes +20,000 hours/yr of labeling usage
Contact salesAll Scale features, plus ...
Custom interfaces
Use custom interfaces for a new task or data type
Custom pipelines and workflows
Receive support to set up an active learning pipeline or other custom workflows
Influence on technical roadmap
Have periodical discussions with the Segments.ai team to discuss platform requirements
Custom security solutions
Receive support to set up advanced integrations
Custom procurement solutions
Set up custom contracts and procurement agreements
SSO and MFA
Set up SSO and MFA leveraging Auth0
Dedicated solutions ML engineer
Receive continuous support from a Segments.ai engineer dedicated to your projects
Tailored metric dashboards
Set up custom metric dashboards leveraging Metabase
Prefer to outsource your labeling efforts? We've got you covered.
Leverage scale and expertise to get your data labeled faster. Each workforce has significant expertise with Segments.ai across a variety of projects and workflows. We'll help you onboard the right workforce tailored to your needs and help you set up model-assisted labeling and active learning pipelines.
We’re collaborating with students and researchers worldwide to solve some of the hardest computer vision problems. Segments.ai is 100% free for non-commercial academic use.
What's Segments.ai about?
Segments.ai offers a data labeling platform for robotics and autonomous vehicle use cases, enabling multi-sensor support including images, point clouds and sequences. Segments.ai allows to quickly iterate between data labeling, model training and failure case discovery through workflows such as model-assisted labeling and active learning. Adjust distribution biases, uncover edge cases, correct labels, investigate image-level model performance and slice the dataset, among many other data and model curation features.
More infoWhich annotation types do you support?
We support point cloud annotations (cuboid, segmentation and polylines) and image annotations (including bounding boxes, polylines, polygons, keypoints and bitmap segmentation including instance and panoptic segmentation). We also support image sequences and point cloud sequences, with interpolation and tracking features. Furthermore, 2D and 3D data can be labeled simultaneously with our advanced multi-sensor solutions.
Book a demoWhich export formats do you support?
We provide a standard flexible format for each annotation type as described in our documentation. You can use our API and Python SDK to convert this into other formats. Reach out to us for tailored support.
Reach outDo you provide labeling services or a labeling workforce?
Yes, we can provide access to workforce with experience on our platform. Alternatively, you can also easily onboard your own labeling workforce and receive a hands-on workshop getting your workforce team up to speed as fast as possible.
Book a demoCan our internal labeling team and outsourced workforce work simultaneously?
Yes, we've designed Segments.ai with this in mind. We bring the best tools and workflows to whoever needs it.
Book a demoHow is my data handled by Segments.ai?
The data you share with us will always be owned by you. We do not share your data with third parties, except for agreed-upon workforce purposes. Our terms describe this in more detail.
Reach out for more infoDo you support active learning?
We strongly believe in iterative workflows and data-first approaches. You can use our platform to easily select which data to label, fix distribution biases, upload prediction scores and labeling priorities, and so much more.
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