At SuperAnnotate, we understand the value of time and quality, which is why we design our processes specifically to apply the best automation techniques and help you reach your desired goals in the most optimal timeframe. Our highly trained team specializes in a variety of specific fields to assist with your specific use case. At SuperAnnotate, we prioritize the right balance of automation, manual annotation, and user management to optimize all levels of project execution.
Security and surveillance projects can become large in terms of image size, data quantity, and workforce. SuperAnnotate provides the tools you need to work seamlessly on projects of any size. Our advanced tooling allows you to complete any project regardless of complexity.
Whether you need meticulous precision or uncompromised speed and quality, our skilled team is equipped with advanced annotation tooling to help you complete your retail and fashion tasks as quickly as possible.
If you are dealing with aerial imagery, especially in specific fields such as agriculture, you most likely require a unique annotation approach. Through the course of trial and error, our team can perfect a set of techniques to assist you in cases where traditional manual annotation might not be the most optimal solution.
Human pose estimation, object count, and detection can be challenging in dynamic, high-speed, fields such as sports. For reliable analytics results, you can’t afford approximate annotation, which is why we focus on optimizing the annotation process so that you can spend minimal resources on high-precision annotation. From vector templates to automatic predictions, SuperAnnotate provides a vast range of optimization and quality assurance techniques.
In a field as competitive as autonomous vehicles, time is of the essence. As the demand and technology for autonomous driving rapidly grow, the optimization of the annotation stage is paramount. With SuperAnnotate, you don’t have to compromise or simplify your projects because of scarce time or resources.
From deforestation to surveillance and from cityscapes to natural landscapes, our highly trained team will help you complete your projects, regardless of data size or the nature of the task at hand. Our system is specifically designed to allow working on large images with full tooling, speed, and quality capacity.
For such a highly specialized field as medical imagery, the professional training and skillset of the annotation team are fundamental. At SuperAnnotate, we cooperate with medical professionals at various levels to provide the level of expertise you need.
With the multi-level automation and ML-aided annotation systems, we provide the highest quality annotation within the shortest deadlines. Regardless of the use case or scale of your project, our team is equipped to provide the quality you need within your timeframe and budget.
At SuperAnnotate, we implement the most effective machine learning and automation techniques to increase annotation quality while decreasing annotation time. From full semantic segmentation to any vector tool, our team can take on the most complex task to help you develop your projects.
From focusing on the smallest details to considering the big picture, our superior tooling and experienced team will help you complete your annotation projects in the shortest possible time frame.
Infrastructure inspection and monitoring can be a time-consuming process. You need a team of annotators and skilled managers to apply their experience with similar projects to design the best workflow, oriented to your specific needs.
At SuperAnnotate we apply object and text prediction mechanisms to automate the majority of the text recognition task. The manual annotation is applied only for minor changes and corrections. While most companies move towards digital invoices, most of them still use a vast variety of paper invoices. As long as the transcribed invoices are image-based, this type of predictions will be more useful than the OCR recognition. The tool base in SuperAnnotate is designed to automate and speed up the majority of the invoice annotation process.