Introduction Point cloud data is playing an increasingly crucial role in the fields of computer vision and machine learning. This precise 3D representation provides AI models with rich spatial information, finding applications across diverse domains including autonomous driving, smart manufacturing, urban planning, and cultural heritage preservation. Both dynamic and static point clouds play vital roles […] The post Navigating 3D Data: Point Cloud Tools for Advanced AI and Computer Vision appeared first on People for AI ..read more

Introduction When a company wishes to outsource its data annotation, it wants to be sure that the annotation will be carried out with a high level of quality and at a competitive price. If the need for annotation is recurrent, it is advantageous to look for a long-term partner. The Importance of a POC Because data annotation isn’t always quick and easy (see blog post on the subject), it’s crucial to take the necessary time at the start of the project to identify any potential difficulties, whether technical, functional or organizational. That’s why we advise our customers to set up a POC (“Pro ..read more

This is the second blog post on our partnership with Le Relais. Stay with us to know more about the workforce, their working conditions, their selection, their training and the benefits gained by our labelers from working with us. To read the first blog article about our relation with Le Relais, click here. — How it is today Created in 2020, the Ejery team counts, in Q3 2023, with +20 labelers and +3 local project managers. The team, with an impressive rate of near-to-zero turnover, is now focused on developing the present workforce. Here the Ejery team was invited to a trip to the Anosy regio ..read more

This first blog post on our partnership with Le Relais will explain the birth of this partnership and how the company is working as a Social Company.  — People for AI is well-known for its data labeling quality, its refined expertise and capacity to tackle complex labeling projects. We manage image and text labeling projects, handling numerous annotation tasks each week to support AI innovation. But how do we achieve these results? At People for AI, as our labelers have long-term contracts signed, we believe that our workforce is the first building block to our success. Our collaboration ..read more

This guest article was written by Kili-Technology, offering their seasoned perspective in Data Labeling Best Practices. We will explore in this article how Professional Data Labeling Companies can help companies in crafting better AI solutions, and how to select the right data labeling partner based on rational, easy-to-assess factors. Introduction Artificial Intelligence (AI) has become an indispensable part of business operations in the rapidly evolving digital age. It plays a crucial role in decision-making, enhancing customer experience, streamlining processes, and driving innovation. Howe ..read more

The aim of this article is to clarify the context and operation of data labeling, as well as its key features. Curious, isn’t it? Let’s go! Our article is divided into four sections: Context on AI & Data Labeling: Key concepts’ definitions Importance of having good data: Data-centric AI Data labeling Types of data Types of labels Approaches to label Pre-Labeling & Automatic/Semi-Automatic tools Can we escape data labeling? Context on AI & Data Labeling I always believe it’s better to start an analysis by understanding the big picture and structuring the main concepts. So befor ..read more

People for AI, a specialized provider of high-quality data labeling services, is thrilled to announce its partnership with Konfuzio, a leading provider of AI-driven solutions for document understanding and data extraction. In this blog post, we’ll explore the alliance’s reasons and benefits for both companies and clients. Konfuzio’s advanced AI technology complements People for AI’s expertise in annotating documents and visual artifacts, including pictures. Selecting Prime Technology for Data Labeling:  At People for AI, the pursuit of top-quality results is paramount when it comes to dat ..read more

We firmly believe that high-quality annotation is crucial for the success of AI projects. Quality annotation, or quality labeling, not only enhances the overall performance but also contributes to time and cost savings. To ensure top-notch quality, we People for AI approach it from three different levels: Labelers’ Continuous Training Workflows to Evaluate the Correctness of Labeled Data  Quality Assessment Process Labelers’ Continuous Training Training labelers lays the foundation for the successful execution of annotation projects. As labelers need to continually improve throughout pr ..read more

People for AI is a company specialized in data labeling with a different business model that allows us to offer stable working conditions to our labelers. We are launching a call for Pro bono, Social or Environmental projects to make our expertise available to causes that resonate with our values. The People for AI business model allows for pro bono work. At People for AI, we hire labelers for the long term and offer them social, health, and retirement benefits. This approach enables us to build a stable and loyal team that is essential to our collective success. However, since the annota ..read more

If I were to tell you that the performance of Machine Learning algorithms depends on the training data quality, you would say that you are not learning anything new about data labeling. There is even a proverbial phrase about this: Garbage in, garbage out. Yet, we don’t hear much about the companies involved in creating labeled data sets, as this is a relatively new field. As Data labeling is still little known to people, many misconceptions remain. This does not facilitate communication between companies developing Machine Learning algorithms and companies labeling data.  So to help y ..read more