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This exploration will guide you toward comprehending the pivotal role keypoint annotation plays in enhancing AI’s visual understanding, and how to use it.

Communities are the backbone of our society. It is our responsibility to ensure their wellbeing. Sama’s contribution to various communities across the world is a reflection of our understanding of this.

When Walmart set out to improve e-commerce search relevance, it needed a labeling partner who could scale with demand without sacrificing quality.

Crowdsourced data annotation is the process of obtaining labeled data by outsourcing the annotation task to a large group of contributors, usually through a crowdsourcing platform.

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.

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.

This is the first comprehensive report on Sama’s impact since we transitioned to a private entity in 2018. It is also the first report in our 15 year history

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

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.

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.

From improved shopping experiences to increased buyer’s confidence, here’s what Nike’s use of AR in e-commerce means for the retail industry.

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.

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,

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.

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.

Nairobi, Kenya, May 5, 2023- Sama respects the right to peacefully demonstrate. In the interest of safety, other tenants at Sameer Business Park requested property management to engage the police.

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.

Sama is excited to announce that we have reached a key milestone in our climate action journey: setting science-based carbon reduction targets to achieve by 2030.

Video annotation is a critical process for machine learning applications such as object detection, action recognition, and speech recognition.

Image annotation is a powerful tool that can help improve the accuracy and efficiency of applications, from object detection and recognition to image search and classification.

Sama believes that Artificial Intelligence (AI) can be a force for good in the world with appropriate safeguards guiding the responsible and ethical development of AI.

Computer vision has a wide range of applications. This can be object recognition and tracking, such as in security systems, retail, and manufacturing to track and identify objects.

Discontinuing the content moderation business was a difficult decision that we made when Sama shifted its focus to computer vision data annotation technology platform and solutions.

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.

Discontinuing the content moderation business was a difficult decision that we made when Sama shifted its focus to computer vision data annotation technology platform and solutions.

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.

As autonomous vehicle adoption grows, the most intelligent among them are gathering data from their computer vision cameras,LiDAR lasers, and arrays of onboard sensors.

Dr. Borne shares the history of data collection and analysis in astronomy and the evolution of cookies on the internet and explains the concept of Web3 and the future of data ownership

Lyft’s Sarah Barnes describes how citydwellers of the near future will have to rely on Autonomous, Connected, Electric and Shared transport.

In this ebook, Sama provides a practical guide to getting optimal quality ground truth labels for your autonomous driving project!

Like many companies across the world, Sama is navigating a shifting economy with an eye for long-term sustainability.

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

In-house data annotation can be expensive but can be helpful in early stages of ML production. Outsourcing data annotation is cheaper but security can be compromised.

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.

We’re proud to release the Sama-Coco dataset, a relabeling of Coco-2017. It’s free and ungated for any machine engineers to use in their projects. Happy Halloween!

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?

Data curation tools help prioritize labels that will have the greatest impact on your models, quickly optimizing model accuracy while saving time & money.

As a data scientist, you may be familiar with the following scenario: your model performed well in training, but it’s producing less-than-desirable results when faced with new data in production.

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.

Like many companies across the world, Sama is navigating a shifting economy with an eye for long-term sustainability.

In this ebook, Sama answers data labeling FAQs such as “How much data do I need?”, “Which parts of my data should I annotate first?” and many more.

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.

In ML, 100% data quality isn’t necessary – it isn’t even feasible. Learn how to find the quality “sweet spot” to get your models performing as desired.

More shopping doesn’t need to lead to longer lines. Many retailers have implemented self-checkout lines to help shoppers get their errands done more quickly.

Sama is investing in ML-powered tools to optimize efficiency for your video annotation projects; introducing ML object tracking to increase throughput without sacrificing quality.

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.

Many online shopping experiences end in disappointment. In 2020, $102 billion worth of products purchased online were returned to retailers — about 18% of all online sales.

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

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.

Smart homes and appliances empower homeowners to remotely control and program appliances. They wouldn’t be so “smart” without high-quality labeled data.

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.

Today, Sama is thrilled to announce a host of new offerings which will allow us to continue to power our customers’ ML models with unmatched accuracy, scale, and efficiency.

In sports, AI can drive ticket and merchandise sales by studying purchase patterns from a large number of fans. AI is used in sports both on and off-pitch.

Here are some of the most frequently asked data labeling questions, along with recommendations for approaching your data annotation strategy holistically.

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.

A recent academic paper outlines how Sama uses Experiment-Driven Development to measure how improvements made to our platform increase annotation efficiency.

Swift partnered with Sama to cost-effectively scale data annotations for their CV model, without compromising the clinician-level accuracy they needed.

Sama is thrilled to partner with research center Mila, to help further the mission of creating innovative technologies to drive the AI industry forward.

Sama has been recognized in Fast Company’s list of the Next Big Things in Tech for our work with our partners at Orbisk.

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

Last week, Sama secured Series B, cementing the viability of purpose-driven companies—and hopefully inspiring others to pursue purpose and profitability.

Sama has raised $70M Series B funding to build the first end-to-end AI platform that enables teams to manage the complete AI lifecycle.

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

ML Assisted Annotation can help you generate high-quality pre-labeled and human-assisted annotations, for predictably higher quality data in half the time.

This whitepaper by Partnership on AI examines the working conditions of data enrichment professionals, and what can be done to improve them.

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.

Sama’s third annual Innovation Week is coming to a close, and once more, our teams have given us plenty to be excited about.

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.

Tribe Dynamics helps customers get better ROI from influencer programs. Find out how partnering with Sama helped Tribe better serve clients and expand into new markets.

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

We asked experts working in the field about their thoughts on the role of humans in Machine Learning, and humans and the future of ML. 

How do you define training data quality and measure it? How do you improve it? We go into defining, measuring, and reviewing your training data quality.

87% of AI projects will never make it into production. Why? We asked ML experts.

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

In this series of three we’ll go into Experiment Driven Development and A/B Testing. EDD is fact-based development: based on evidence, not intuition.

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

In this series of three we’ll go into Experiment Driven Development and A/B Testing. EDD is fact-based development: based on evidence, not intuition.

In this series of three we’ll go into Experiment Driven Development. EDD is fact-based development: based on evidence, not intuition.

We reached out to various ML experts, asking them the questions: Why is high-quality training data so important? Why do so many projects fail in ML?

Introducing Factotum: an MIT-licensed, open source, kubernetes-oriented, general purpose docker container for devs/devops and custom CI/CD pipelines.

2021 Predictions: We asked a range of ML experts about what they believe will be the next big thing in AI and Machine Learning.

The Sama MLOps Pipeline: At Sama we decided to build our own automated training pipeline in order to limit costs, and to avoid tying ourselves to a particular cloud provider. 

Samasource is now Sama, the same team that powers the world’s most ambitious AI projects with high-quality and accurate data, but with a new name that represents our vision moving forward.

There’s no shortage of literature about ML, but we’ve compiled a list of 10 must-read books to add to your list!

In this article we summarize an approach that we have developed to speed up polygonal instance segmentation using machine learning.

Sama is thrilled to announce that Wendy Gonzalez is our new Chief Executive Officer.

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.

Here’s a celebratory list of some of the women we look up to and have spearheaded development in AI and Machine Learning in 2020.

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.

We’re humbled and honored to announce that, as of today, Sama is the first AI company to receive the prestigious B Corp certification.

AI is often framed as something that’ll change our future, but many people aren’t aware of quite the extent to which AI currently used in society and everyday life.

Through our work with Vulcan, we have been awarded the winner of the 2020 AI Breakthrough Awards for the Best Image Processing Solution. 

Sama is honored on Inc. Magazine’s Annual List of America’s Fastest-Growing Private Companies—the Inc. 5000

From accidental Alexa purchasing to bias in recruitment, we have gathered 5 AI fails from the last few years.

We explain the various types of machine learning algorithms including supervised, unsupervised and reinforcement learning, as well as business use cases.

We’ve decided to take action both inside our organization and in partnership with local organizations to drive toward a more equitable society.

The growth of popularity in AI has been mirrored by a growing number of concerns surrounding privacy, security and ethical use of data.

We’re excited to introduce Chloe, an automated public chatbot service to support in the fight against the coronavirus.

Fast Company has recognized Sama as a finalist in the AI and Data category as part of their 2020 World Changing Ideas Awards.

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.

Creating lasting social impact, understanding our carbon footprint and being environmentally sustainable are just few of our goals for sustainability and impact.

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

Sama is excited to launch the PII Data Anonymizer for video training data. This technology enables obscuring of sensitive information in training data.

Sama’s commitment to an ethical AI supply chain enables us to close the gender pay gap, by paying a living wage to all of our employees. 

As AI adoption expands, untapped communities are finding work at the cutting edge of AI. Here are 4 ways AI makes a positive impact on communities in East Africa.

During the REWORK Deep Learning Summit, Sama shared how top organizations obtain secure, high-quality training data, fighting AI bias in the process.

In this interview, we chat with Head of AI at Sama about AI trends to expect in 2020, as well as frequently asked questions about AI and machine learning.

Sama was proud to sponsor CodeJam 2019, an annual hackathon at McGill University, from November 15 – 17, 2019.

When we work with companies that want to use AI in e-commerce, we notice a few common barriers in AI adoption. Here are 4 reasons e-commerce needs AI to stay ahead.

ICCV 2019 provided a welcoming platform for the distribution and discussion of scholarly and technical work in computer vision.

This list of computer vision insights shares how artificial intelligence is learning to understand and relate to the intensely visual world around us.

Here are a few things to consider, to strengthen your data security practices.

Here are 6 TED talks on AI Ethics anyone working in artificial intelligence should watch.

Data isn’t the only thing holding back artificial intelligence. Read more about some of the challenges and trends in AI.

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

Most media coverage discuss bias, fairness, and ethical use of AI, but the humanitarian aspect of the AI supply chain is often overlooked.

From facial recognition to AR/VR, computer vision is changing the way we interact with the world around us. Here are some highlights from CVPR 2019.

We’ve collected 6 computer vision infographics on everything from visual search to the history of computer vision from around the web.

Here are 7 organizations attending CVPR 2019 who are leading the way in computer vision, plus 3 noteworthy companies from around the web.