There’s a better way to get your data labeled
Crowdsourcing, or outsourcing, often ends in heartache. Choosing the right team, deciphering byzantine contracts, and working with labelers of widely varying skills is hard enough. Juggling time zones and dealing with patchy communication makes it even harder - reducing data quality and delaying project completion.
How it works
Share your vision with us, and our experts will help craft and execute a fully customized data labeling project - without the pain of managing anything yourself. We’ll handle everything, from choosing the right team to the labeling itself.
Provide our team with:
Meet with your dedicated project manager to:
Create or provide gold-standard annotation guidelines
Establish preferred communications cadence
Delegate responsibilities between companies
Establish final deliverables and acceptance criteria
Using a small data sample, we’ll:
Field test your project and annotation guidelines
Revise processes to improve efficiency
Identify valuable edge cases to mine
Suggest changes to your annotation pipeline
Our highly-skilled team will:
Annotate your data manually
Apply labeling automation to reduce time and cost
Review labels using a multi-level QA process
Create tight feedback loops internally and with you (based on your preference)
Recieve labeled data directly through the Superb AI platform, API, Amazon S3, Google Cloud Storage, or Azure Blob Storage
Scale your project with larger batches of data and structured task assignments designed to increase efficiency and quality.
Get your models to production and your AI to market faster
Augment your models with the highest quality training data. Our labelers are well-versed in your use case and always follow strict QA processes.
Scalability for All
Our expert team, paired with AI-powered automation, is well-equipped to help you grow at every stage, from startup to enterprise.
We’re always here to help, from personalized support to deep ML insights and guidance on improving your projects, data, and pipelines.
From our people to our tech stack, security and trust are baked into all we do. Our global teams can handle any geographical requirements.
Superb AI supports general image and video annotation, classification, auto labeling, and QA, and can also provide data collection services upon request.
Our dedicated team specializes in bounding boxes, polylines, keypoints, polygons, and segmentation tasks. We have extensive experience in popular computer vision applications spanning retail, agriculture, transportation, sports, robotics, security, medical, and many more.
Rather than managing labelers yourself, a member of Superb AI’s customer success team will act as a single point of contact while overseeing dedicated labelers on your behalf. Each member of our managed services team was hired based on skill set, experience, and trustworthiness and must pass both a rigorous security clearance and an extensive training program on the Superb AI platform.
Unlike crowdsourcing and other services, we work directly with and oversee our teams throughout every step of your project, establish a consistent feedback loop internally and with you, and will proactively make any necessary workflow changes to ensure the highest quality. We ensure standards are met and output consistent by using data samples in the project’s early stages to establish gold standards for our team.
We carefully review your labels in batches using a multi-layered manual review process to find inconsistencies and patterns from the very beginning of your project to the end. Working with smaller batches allows us to deliver the highest quality labels consistently. We also use adaptable mislabel detection models to find and remedy potential misclassifications within your datasets. In addition, other AI-based tools like uncertainty estimation are utilized when using automated data labeling to further boost QA efficiency.
We support image data for all usage plans, and support video data for enterprise customers. If you are a Team Plan user and would like access to our Video support, please contact us for more information. Support for other data types, including text and Lidar is coming soon later this year.