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SLAM for efficient Lidar Labeling
As the autonomous driving industry continuously evolves and 3D computer vision undergoes rapid development, the need for accurate and efficiently-annotated 3D data is on the rise. A key technology we have applied at Sama to this end is Simultaneous Localization and Mapping (SLAM).
New report: The latest trends and challenges in machine learning
Machine learning is rapidly evolving, but there are still challenges and uncertainties that need to be addressed for it to reach its full potential. To understand the concerns, motivations and opinions of ML professionals, Sama conducted our 2023 ML Pulse survey. Here's what we heard about the hype surrounding Generative AI, the confusion around success ... Read more
Sama is a TITAN and Globee Women in Business Awards Winner
Sama, a leading provider of data annotation and model validation solutions, has unveiled its cutting-edge solution: Sama GenAI. This specialized solution has already empowered some of the most advanced Generative AI (GenAI) and foundation models globally.
ICCV 2023: 5 sessions and a dataset we’re still thinking about
Sama staff attended ICCV 2023, and gained valuable insights, traded ideas, and made connections with like-minded individuals who are shaping the future of ML, AI, and CV. The sense of community and collaboration among such passionate individuals was energizing and made our experience all the more memorable.
Accelerating AI Innovation: Sama Introduces Sama GenAI for Faster, High-Performance Model Development
Sama, a leading provider of data annotation and model validation solutions, has unveiled its cutting-edge solution: Sama GenAI. This specialized solution has already empowered some of the most advanced Generative AI (GenAI) and foundation models globally.
Sama Launches Re-Engineered Data Annotation Platform, Delivering 99% Client Acceptance Rate for AI Training Data
Platform 2.0, which consists of SamaIQ™, SamaAssure™ and SamaHub™, is a powerful ally of ML models, offering not only high-quality annotated data and model validation, but a unique blend of cutting-edge technology, proprietary approaches and human expertise.
Top 4 Computer Vision Applications in Agriculture
Agriculture is transforming as new, advanced technologies are used in everyday activities. One of the most far-reaching developments is the use of computer vision, which is revolutionizing farming practices and driving sustainable agriculture forward.
Sama Calls for the EU to Pass the EU AI Act Now (Wherever you are)
The European Union (EU) is leading the way in terms of Artificial Intelligence (AI) legislation. We strongly support the EU approach and believe that it can have a positive impact on the responsible and ethical development of AI
3 Hidden Costs of Data Annotation
In our latest webinar, Identifying the Hidden Costs of Data Annotation, Megan McNeil and Ryan Tavakolfar explore the key factors that can impact the efficiency and quality of data annotation and how they interplay with each other.
3 Tips to Avoid Machine Learning Biases in Retail Industry
Model biases in retail can have broader societal impacts, contributing to inequalities and reinforcing systemic biases. Credit scoring algorithms are often used by banks and other financial institutions to evaluate loan applications.
How to Select Image Annotation Tools & Techniques
Selecting the proper image annotation technique is critical to machine learning (ML) performance because the accuracy and efficiency of computer vision applications depend heavily on the quality and consistency of the annotations.
Segment Anything: Is SAM all you need?
Recently, Meta AI’s release of the Segment Anything Model (SAM) has sparked a lot of interest and excitement in the Computer Vision (CV) community. SAM is an image segmentation model that can provide segmentation masks for a variety of input prompts,
5 Computer Vision Applications in Retail in 2023
Retailers are using AI-powered tools and applications to personalize product recommendations, manage inventory levels, provide customer service, enable virtual shopping experiences, and detect fraudulent activities.
Top 3 Examples of How Poor Data Quality Impacts ML
If a machine learning model is trained on inaccurate or missing data, it may falsely classify images or make incorrect recommendations. Missing data can negatively impact machine learning models by reducing accuracy or introducing bias.
How to Optimize Data Quality for Better ML Model Performance
One of the main reasons for this is the lack of reliable scaling of data annotation volumes and quality, which is often fueled by human error, unclear assumptions, ambiguity of images, and the subjective nature of the annotation task.
What is object tracking and how is it used?
There are two primary kinds of object tracking that serve different kinds of applications. First, image tracking is the process of isolating objects in an image and tracking them. For instance, real estate agents might use this in interior design software.
Computer Vision : History & How it Works
Computer vision helps increase automation and improves the ability to analyze and interpret visual data at a scale. It has several stages, including image acquisition, and processing, feature extraction, and pattern recognition.
The State of Data Annotation in Computer Vision
The challenges of data annotation are far-reaching for companies in retail, media, consumer goods, transportation and e-commerce, and many others. To overcome the challenges, these companies need to train their AI algorithms to
Data-Driven AI for Good with Neil Sahota from IBM and the UN
IBM is recognized as an industry leader in the data, analytics, ML, and AI sectors. Yet on Jeopardy several years ago, Watson gave puzzling and incorrect responses to trivia questions. It won the tournament, yet reinforced challenges many organizations have experienced with their AI initiatives.
Navigating AI Liability Compliance – how Sama helps
This article is the first in a series regarding how Sama uniquely equips its clients with a data labeling process that complies with the emerging body of AI regulation to ultimately avoid liability risks and costly rework. NTD: worth going into the importance of Digital Trust?
Single Object Tracking: Key Machine Learning Concepts, Models, and Techniques
What helps self-driving cars “see”? At their core, autonomous vehicle perception systems rely on object tracking algorithms to help understand their surroundings and ensure optimal safety.
Sama Made the Inc. 5000 List… For the Third Year in a Row!
Sama is honored to have made the Inc. 5000 List of America’s Fastest-Growing Private Companies… for the third year in a row. Being included on the Inc. 5000 list is a direct reflection of the hard work, dedication, and resiliency of our talented teams.
New from Sama: Faster, More Cost-Effective Drivable Area Annotation for 3D Point Cloud Data
Sama is thrilled to announce new and improved features for 3D point cloud annotation to provide our clients with the most secure, cost-effective, and fastest path to quality 3D drivable area annotation at scale.
Sama’s Contribution to Advancing AI Recognized
Almost 15 years ago, Leila Janah founded Sama on the belief that “talent is equally distributed, but opportunity is not.” Her vision — to give work, not aid — has since produced ripple effects throughout East Africa and the world.
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.
Code.Jam(2020)-McGill Hackathon: and the winner is A Virtual Fitting Room
For the second consecutive year, Sama was a Terabyte partner of the McGill Engineering Hackathon, the largest annual hackathon run by the McGill Electrical, Computer, and Software Engineering Student Society.