Explore | SuperAnnotate

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

One-shot Annotation

Select a single instance of a polygon or bounding box and leverage advanced algorithms to automatically find and suggest annotations for similar instances across your entire dataset.

Batch Classification

Use similarity and NLP search to classify large volumes of data quickly. Search for items, select them in bulk, and apply the desired class efficiently.

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.

Discover Orchestrate

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.

Vector Search

Quickly identify wrong annotation patterns.

Rating System

Approve or disapprove LLM actions and leave comments.

Assign Tasks

Simply forward tasks to specific team members or annotators.

Rating System

Approve or disapprove the LLM actions, leave comments.

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

Testimonials

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."

Jonathan Frankle

Chief Neural Network Scientist at Databricks

"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."

Iris Fu

Director of AI Engineering at GumGum

”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.”

Quinn Leng

Sr. Software Engineer, ML Training at Databricks

Definitely the best team of annotators I’ve seen and the platform is easy to manage. The quality is really high and consistent.”

Joseph Martorana

Data Annotation Lead at Hinge Health

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.”

Jason Lohner

Senior AI Data Manager at Motorola Solutions

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.”

Ovadya Menadeva

Head of AI & Vision at Percepto

“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.”

Geoffrey Shmigelsky

CTO at OneCup AI

“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.”