5 Ways to Get Started with AI in Your Business (Even with a Small Budget)
The truth is that, within the rapidly technologically changing world of today,...
Foundational strategies for robust, data-driven decision-making capabilities.
Empower your communications with advanced NLP technology applications.
From real-time object detection to custom model development, our AI vision expertise delivers results.
Implementing and developing creative solutions using the most modern generative AI technologies.
We deliver precise annotations and perfect labels for superior model learning.
Every customer interacts more effectively with intelligent conversational agents.
Eliminating legacy systems and driving process enhancements to revolutionize enterprises.
Offering Robotic Process Automation and Intelligent Document Processing.
The legislative assembly of a state was faced with the daunting task of managing an extensive archive of session videos. These recordings were essential for referencing past discussions, decisions, and legislative processes.
Innovative AI-driven solutions enhancing healthcare efficiency and patient outcomes.
AI solutions detecting and predicting agricultural productivity and sustainability.
Advanced AI solutions transforming educational experiences and outcomes globally.
AI solutions tailored to optimize legislative processes and efficiency.
AI solutions enhancing Ancestry and Historic research accuracy and depth.
Solutions scaling efficiency and innovation for large enterprises.
A well-established public library with a vast collection of books, magazines, and various documents faced the challenge of digitizing their entire archive. The goal was to not only digitize the physical content but also to extract metadata and generate summaries to make the archive more accessible and useful for users.
Dive into our case studies to see how our AI solutions have driven growth, efficiency, and innovation for our clients.
Explore the latest insights, trends, and innovations in artificial intelligence through our blog.
The genealogy publishing house, a leader in historical and genealogical research, was hampered by a labor-intensive process that involved manually transcribing historical documents to create accessible records.
Power your autonomous models and smart city models with highly accurate insights drawn from raw and complex point cloud data. We have deep expertise in validating labels, spotting and resolving issues, and labeling data so that it aids in the seamless functioning of your machine-learning models
Proper labeling and classification of items in point cloud data is essential for three-dimensional element identification. It teaches the algorithm to recognize items and comprehend scenes during mapping and while riding driverless cars. However, there are significant obstacles in the way of obtaining and preserving this accuracy.
Most of these challenges are posed by its high density and complex 3D structure, which cause issues like surface reflectivity changes, overlaps, and occlusions. To top it, managing substantial amounts of LiDAR data comes with severe logistical and computational challenges.
At SBL, we understand the varied and deep intricacies of data labeling and solve them leveraging our professional LiDAR annotation services. With 18 years of experience in merging GIS and AI, we offer specialized expertise to tackle unique challenges associated with point data and occlusion.
Our seasoned experts have industry-specific knowledge to provide precise annotations suited to your application. We develop custom tools and invest in ongoing annotator training to label and classify your LiDAR data accurately and precisely.
Our team has knowledge and proficiency in different types of LiDAR annotation techniques and can help you choose the one that best fits your project needs. Each of our techniques aims to ensure accurate and high-quality annotations to support machine learning models and enhance the performance of your application.
We have vast experience in annotating across various industries, from automotive to construction, allowing us to customize LiDAR annotation solutions for every specific need.
Our team comprises highly trained LiDAR annotation professionals. We efficiently allocate resources to meet your timelines and adapt to evolving annotation requirements.
We comply with ISO 27001 standards, and implement stringent security measures to secure client data and guarantee the highest level of confidentiality.
Our experts bring a variety of perspectives to the annotation process, minimizing the risk of bias in your training data. We back this with rigorous quality control measures to ensure the accuracy and reliability of annotation.
Discuss your LiDAR annotation needs with our experts and discover how we can transform your data into actionable insights.
At SBL, we follow a precise and collaborative approach to guarantee top-quality annotations for your machine learning projects. Our workflow consists of the following steps:
In the requirement gathering stage, we sit with your experts to comprehend the type of data annotation needed. Based on this understanding, our experts develop precise annotation guidelines along with the project’s scope and timeline.
In this stage, the data is cleaned and organized, to remove duplicates, inconsistencies and irrelevant information (sensitive data, like healthcare data, is anonymized). Next, the data is converted to compatible formats.
To aid our annotators, our experts create detailed guidelines consisting of a to-do list. It also includes clear instructions, examples, and visual aids to remove all confusion.
Our annotators are acquainted with the established guidelines and trained with the tools to be used. A pilot project is also conducted with a small subset of data to gather feedback and refine the guidelines. This helps our annotators develop a clear understanding of the project requirements.
Once the annotation process begins, the progress is monitored with continuous quality checks and reviews to ensure accuracy. The entire process is driven by a feedback loop (between annotators and QA) to improve the process.
After the completion of the project, the annotated data is converted to the client’s preferred format and delivered. We also conduct a post-project analysis to identify areas for improvement and refine our processes for future projects.
Our annotation process is driven by a rigorous quality control mechanism to minimize errors and maximize the precision of machine learning models.
We bank on highly efficient workflows and a scalable team of experts to speed up project delivery and accelerate time-to-market.
We harness custom tools to streamline processes to lower expenses significantly and ensure maximum savings for our clients.
Our track record of producing high-quality LiDAR annotations guarantees improved model performance in object detection, classification, and segmentation tasks.
The truth is that, within the rapidly technologically changing world of today,...
The fast-moving business environments of today leave organizations at crossroads with their...
We offer a comprehensive suite of AI solutions, from data analysis and automation to intelligent chatbots and content creation. Let’s discuss how we can help you achieve real-world results.