How Sama’s Accurate AI is Helping Blind Runners Run Independently
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.
Blog
RCT Results from MIT: Evaluating the Impact of Sama’s Training and Job Programs
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.
Challenges & Solutions for 3D LiDAR Annotation & 3D Data Sets
In this webinar, discover the challenges & solutions to 3D LiDAR annotation & 3D data sets for solving autonomous driving or driver assistance.
Sama’s Gold Tasks: ML Training Data with Gold-Standard Quality
Sama is an expert in efficiently designing annotation guidelines that enhance data quality. Gold Tasks refer to tasks that have been annotated perfectly.
Supercharge Your Data Quality with Automated Quality Accelerators
Automated quality accelerators are technology innovations that are focused on reducing the amount of manual quality assurance time spent in QA processes.
Custom Keypoint Shapes for Vector Image & Video Annotation
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
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.
Object Tracking with Frame Level-Labeling
Sama video and 3D object tracking with frame-level labeling assists companies in quickly building models that better reflect real-world behavior.
Revamped 2D Vector Segmentation
Sama’s revamped toolset for 2D image vector segmentation is ideal for computer vision projects using vector shapes to structure training data.
Moving Toward Level 4 Autonomous Driving
Kirk Boydston, Training Data Specialist at Sama shares five considerations to move your machine learning model toward level 4 autonomous driving.
