Blog

Good annotation and testing practices are the foundations of building a great model. However, understanding what constitutes quality data is a tricky question.

Customers walk around stores, browse displays, walk down aisles, and stop to consider products. From the outside, it may not appear there is much to glean from these behaviors.

The purpose of a LiDAR annotation quality rubric is simple: it ensures that two people will score the same object in identical ways.

„Like so many immigrant children, I learned to believe in a dream that is as much American as it is universal: a dream of equal opportunity.“ – Leila Janah

Continuous improvement and excellence are at the heart of everything we do, and we invite anyone, in and outside of the company, to help us on our journey.

Sama is committed to providing our workforce with professional development and upskilling opportunities, benefits, and a living wage.

Orbisk is focused on limiting the amount of food waste produced in restaurants, hotels, and cafes with their AI-powered food waste monitoring solution.

Learn how Volumental partnered with Sama to accurately label the datasets that fuel the computer vision technology for their mobile foot scanning app.

Find out how accurately labeled data is helping PolyPerception provide material recovery facilities with better visibility into their waste streams.

Project Guideline by Google partnered with Sama to help people who are blind run without a guide, using only a smartphone, headphones, and a yellow guideline.

This week, researchers at MIT released a white paper evaluating Sama’s impact through a three-year Randomized Controlled Trial study. Here are their findings.

In this webinar, discover the challenges & solutions to 3D LiDAR annotation & 3D data sets for solving autonomous driving or driver assistance.

Sama is an expert in efficiently designing annotation guidelines that enhance data quality. Gold Tasks refer to tasks that have been annotated perfectly.

Automated quality accelerators are technology innovations that are focused on reducing the amount of manual quality assurance time spent in QA processes.

Announcing our support for custom keypoint shapes in our training data platform trusted by the world’s leading AI teams, for vector image and video annotation.

The traffic light problem for autonomous vehicles is critical for all vehicle safety, and unlike human-drivers, AVs rely solely on computer vision systems to navigate the world around us.

Sama video and 3D object tracking with frame-level labeling assists companies in quickly building models that better reflect real-world behavior.

Sama’s revamped toolset for 2D image vector segmentation is ideal for computer vision projects using vector shapes to structure training data.

Kirk Boydston, Training Data Specialist at Sama shares five considerations to move your machine learning model toward level 4 autonomous driving.

Today, we’re announcing the production availability of our new 3D annotation engine for the Sama.

Last week, Sama visited the Auto.AI event, which bills itself as the platform bringing together the stakeholders who play an active role in the deep driving, computer vision, and sensor fusion.