Vector Search
Quickly identify wrong annotation patterns.
4.9
#1 AI Data Company
Understand, Curate, Expand
Build better models faster by easily understanding and improving your dataset. Explore puts advanced search, data exploration, data curation, and tools for dataset improvement at your fingertips.
Class Name
- Mountains
- Lakes
- Cities
2 items
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Advanced Search
Explore and Understand Your Data
Use similarity search and natural language search powered by vectors to navigate your dataset or filter through annotations, predictions, and metadata to find exactly what you need.
Efficiently Expand Your Dataset
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One-shot Annotation
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Batch Classification
Customizable Actions
Act and Automate with Orchestrate
Define and configure custom actions in Python to apply to your data and run them directly from Explore. These actions can include writing annotations to storage, applying custom rules and QA, running models, or using LLMs for judgment setups. Enjoy total freedom to tailor actions to your specific needs.
Review Tools
Ensure Quality at Scale
Ensure quality by using search tools to review every instance of a class across your dataset. Use vector search to find and correct similar items with errors. Approve, disapprove, or reclassify items and send feedback to annotators or reviewers.
Rating System
Approve or disapprove LLM actions and leave comments.
Assign Tasks
Simply forward tasks to specific team members or annotators.
Insights
Drill down with Analytics
Find actionable insights to increase dataset quality using customizable, sharable dashboards.
Shareable Subsets
Create Visibility and Collaboration
Create and share subsets of items (images, text) with colleagues or partners using signed URLs. Recipients can review the items without needing a software license, facilitating easier collaboration and data sharing within your organization.
Market Leaders
With 4.9 out of 5, we’re killing it on G2
Hear it from our customers
We reviewed several companies and selected SuperAnnotate due to the high quality of their data. They stand out for their data quality, attention to detail, and fantastic communication. They are an invaluable part of our data pipeline. I don’t see them as a vendor, I see them as a partner.
By using SuperAnnotate’s data labeling tools alongside Databricks’ extensive data processing capabilities, we’ve really streamlined how we create and refine our training datasets. This means we can deliver sharp and contextually relevant advertising to our clients with greater precision.
SuperAnnotate has been an invaluable partner in creating the golden datasets needed to benchmark our models and in enabling us to craft high-quality prompts and instructions for our LLM Judges.
Definitely the best team of annotators I’ve seen and the platform is easy to manage. The quality is really high and consistent.
SuperAnnotate’s platform is incredibly robust and easy-to-use. Their Data Operations team is very thorough, proactive, easy to engage, and acts as a valuable extension of Motorola Solutions’ data operations.
SuperAnnotate has allowed us to cut over 60% off annotation cycle time. Finding annotation teams was super easy, and because they are all trained on SuperAnnotate, they are able to deliver more accurate annotations much faster than before.
Two years ago, our team consisted of four people who were doing a thousand images over two months. Our data scientist is doing the same amount of work today in just one week. So, if I take 4x8, we get effectively nearly 32x faster.
The fact that SuperAnnnotate had a local dedicated team of professionals sped up the annotation performance and improved the quality of instrument annotations. That, combined with our local QA team, made a combination of 1+1 makes 3.
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Fine-tune
Build better datasets
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Orchestrate
Automate your workflows
Learn More: Orchestrate