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Implementing and developing creative solutions using the most modern generative AI technologies.
We deliver precise annotations and perfect labels for superior model learning.
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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.
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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.
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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in historical and genealogical research, was hampered by a labor-intensive process that involved manually transcribing historical documents to create accessible records.
We deliver precise annotations and perfect labels for superior model learning that serves as the baseline for your extraordinary AI solution.
As businesses rapidly adopt AI-driven innovation, it is often a challenge to recognize high-ROI use cases and be equipped with enough know-how to make the right choices to implement AI at scale. The deep and broad portfolio of services from SBL in data annotation extends from extensive text, video, and image to audio annotations, all skillfully tailored to businesses in general and those in diverse industry verticals.
Whether it’s Bounding Box Annotation, Polygon Annotation, Sentiment Analysis, or Text Categorization, our technology-agnostic solutions are drafted in a way that aligns with your business objectives, ensuring trustworthy and bias-free data. With more than two decades of experience working with Fortune 1000 companies, our global team of specialists is on call to help place AI at the center of your organization so that you can drive growth and deliver outcomes at speed.
The accuracy of each AI solution depends on the dataset on which it is trained. If you need experienced hands to evaluate, annotate, and label your datasets for quality training, read through our services.
SBL’s experience working with companies of all sizes across various industries allows us to customize annotation solutions to your specific needs. This ensures essential training and execution for tasks like object detection, sentiment analysis or action recognition.
SBL’s proven capability of scaling resources allows us to efficiently assign experienced annotators to your computer vision or machine learning projects. This flexibility can help us meet your project timeline and adjust to changing annotation and labeling needs.
We prioritize data security and privacy. Our annotation solutions are implemented in secure operation centers that adhere to industry best practices. We are also committed to data privacy compliance and follow all relevant regulations.
Our global workforce allows us to incorporate diverse perspectives, which helps mitigate bias in training data. We then combine this approach with stringent quality control measures to ensure the accuracy of each machine learning project.
Our AI specialists will show you how strategic data annotation can improve your model Accuracy, development Speed and business Insights.
Our innovative AI case and portfolio management platform supports 200,000 UK individuals with sophisticated case handling, AI-driven relationship and data mapping, smart alerts, and enhanced report visualization.
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Data annotation is the process of labeling data (text, images, audio, etc.) with relevant information. This labelled data is crucial for training AI models. It helps the AI “understand” the data and learn to identify patterns and relationships. Without annotated data, AI models wouldn’t be able to perform tasks like recognizing objects in images, translating languages, or understanding human speech.
Practically any kind of data can be annotated!
Here are some common examples:
Data annotation is typically performed by human annotators who follow specific guidelines. There are also specialized annotation tools available to streamline the process.
While AI can be used to assist with some aspects of data annotation,
it’s not yet reliable enough to do it entirely on its own. Human expertise is still essential for ensuring accuracy and consistency in the annotations.
Many companies offer data annotation services. Look for those with experience in your specific industry and data type. They should be able to provide high-quality, accurate annotations that meet your project requirements.
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.
