Defining, Measuring, and Guaranteeing Quality for Autonomous Driving
Good annotation and testing practices are the foundations of building a great model. However, understanding what constitutes quality data is a tricky question.
Blog
4 Game-Changing Applications of LiDAR in Retail
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.
10 Frequently Asked Data Labeling Questions
Here are some of the most frequently asked data labeling questions, along with recommendations for approaching your data annotation strategy holistically.
Building a Robust Automotive LiDAR Annotation Quality Rubric
The purpose of a LiDAR annotation quality rubric is simple: it ensures that two people will score the same object in identical ways.
A Message From Our CEO
« 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
What TIME Got Wrong
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 by the Numbers
Sama is committed to providing our workforce with professional development and upskilling opportunities, benefits, and a living wage.
Orbisk is Using Accurate AI to Help Restaurants Reduce Food Waste Up to 70%
Orbisk is focused on limiting the amount of food waste produced in restaurants, hotels, and cafes with their AI-powered food waste monitoring solution.
Accurate Data Labeling Powers the Volumental Shoe Recommendation App — Helping Retailers Convert Mobile Customers
Learn how Volumental partnered with Sama to accurately label the datasets that fuel the computer vision technology for their mobile foot scanning app.
How More Accurate Data Labeling is Helping PolyPerception Advocate for Responsible Waste Management
Find out how accurately labeled data is helping PolyPerception provide material recovery facilities with better visibility into their waste streams.
