Master one of the most difficult annotation tasks, polygon segmentation, with our intuitive and user-friendly auto-edit and brush tools. 

Reduce Polygon Segmentation Time and Spend with New AI-Powered Auto-Edit and Brush Tool

This month's improvements to Superb Labeling empower teams to export data in the format that works best for them - eliminating the need for a converter or script.

Export and Use Your Labels Faster With Support for YOLO and Coco Formats

Building an effective model requires more than just uploading your data and flipping a switch, as any machine learning practitioner knows. Organizing your team, establishing ground truth, implementing automation, and creating an effective QA workflow is also crucial...

New Release: Reviewer Role for More Effective and Structured QA Processes

Data is more critical than ever in the fast-paced world of computer vision development. But in this case, we don’t mean data in the sense of labeled images or videos for training ML models...

Product Updates: August 2022 Roundup

mplementing scalable workflows remains challenging when building successful computer vision models. Still, the right features and tools can make the job much easier...

Product Updates: June 2022 Roundup

Product Updates: March 2022 Roundup

A fresh take and new look for our video annotation app makes labeling videos more accessible and faster than ever before...

New Q1’22 Release: Revamped Video Annotation Tool, Review Requests, and Enhanced Bulk Operations 

When it comes to machine learning projects, the hard truth is that training just one model on one version of a dataset won’t result in a production-ready model...

Dataset Preparation Meets Model Experimentation with Superb AI and Comet ML

As the practice of machine learning (ML) becomes more similar to that of other software engineering disciplines, it requires processes and tooling to ensure seamless...

Solving Data Quality with ML Observability and Data Operations

Automate label classification at scale, create the perfect train/validation split for auto-labeling, and more

Data Labeling Meets Data Monitoring with Superb AI and WhyLabs

The Ultimate Guide to Using Superb AI's Custom Auto-Label

Introducing Superb AI LAUNCH

Introducing Custom Auto-Label for Long-Tail Computer Vision

Validating label accuracy is vital to ensuring overall label quality. We’re excited to announce Manual Quality Assurance (QA) - a powerful new set of features built to streamline the label validation workflow so you can consistently collect high-quality labels without significant efforts.

Validate labels at scale: Introducing Manual QA and a more intuitive platform interface

In this blog, we’re combining two key tools to improve the data-centric operations: Superb AI Suite and Pachyderm Hub. Together these two tools bring data labeling and data versioning to your data operations workflow.

Developing Data-Centric AI Applications with Superb AI Suite and Pachyderm Hub

This article shows an example of a pipeline that integrates Valohai and Superb AI to train a computer vision model using pre-trained weights and transfer learning. For the model, we are using YOLOv3, which is built for real-time object detection.

Building a YOLOv3 pipeline with Valohai and Superb AI

Computer vision is one of the most disruptive technologies of the recent decade. Whether you’re thinking about...

Superb AI Meets Valohai: An End-to-End Solution for Developing Computer Vision Applications

When KH Kim, our Chief Research Officer, and I sat down last year and discussed ways to improve efficiency across the full spectrum of data labeling and data operations, we came to the conclusion that Superb AI should dedicate efforts to automation and agile operations.

Introducing Superb AI’s Advanced Transfer Learning Auto-Label

Part 1 is an overview of our Auto-Label framework and our key R&D milestones for advancing this technology.

Auto-Label: Part 1. Introduction to Superb AI’s Auto-Label Tech

Superb AI is excited to announce the launch of Superb AI Suite, a new generation Machine Learning Data Platform. A free version is available starting today.