High quality labeled data is key to the success of Computer Vision projects by providing the necessary information that algorithms need to learn to make accurate predictions. With precisely marked objects and actions in visual data, annotation ensures that AI models can understand and interpret real-world scenarios effectively.
This step is essential for developing robust and reliable Computer Vision applications.
With a team of professionals, we offer unparalleled expertise in Data Intelligence. Our data preparation services ensure that Computer Vision projects achieve the highest accuracy.
We put quality over quantity in data annotation for computer vision projects to ensure the best and most reliable models that perform well in real-world applications with fast time-to-market.
Leveraging a unique skill set and extensive experience in computer vision, we excel at delivering highly accurate, detail-oriented solutions. We focus on meticulous analysis, transforming complex challenges into innovative technologies, delivering exceptional results every time!
Our experienced team of experts will review your business and advise on opportunities of leveraging Computer Vision technology for your benefit. We can assist you to set up goals, success metrics and develop a full project plan.
We deliver top class machine learning solutions. From proof of concept to production deployment, our ML engineers will search for optimal model architecture, finetune it and leverage your visual data to support your business.
When data and models start working for you, you should control how they perform. At the moment, there is no better method than manual data validation and control.
As part of the cooperation, we can undertake this task and help you, to free your team from spending hours on the manual checks providing reliable ground truth data.
Domain expert – we share our knowledge how to seamlessly use CRISP-DM methodology in Data Science projects.
Annotation expert training – entry level training for specialists who we are teaching the foundations of how to become an expert data annotator.
High performance data annotation team – dedicated for managers, who we introduce in team structure, roles, responsibilities, performance indicators and reporting.
Outsourcing is a great way to help your business as it progresses through its various growth stages. From first launch of Computer Vision application project to regular model maintenance that requires large datasets with every iteration, there is always work to be done.
It’s more cost-effective to outsource the work than it is to build your own in-house team in a relatively short period of time or engage highly paid engineers.
You need expertise in this field and we can provide specialists. Learn from us how to avoid failures and keep your AI/ML projects on track.
We are flexible, after you finish this heavily engaging stage of your project, we can easily scale down the team to your current needs waiting for new challenges.
What sets us apart is our commitment to unparalleled service quality with high communication, performance, credibility standards. Operational excellence is our goal. We ensure that every interaction with our team is a seamless and satisfying experience.Team of seasoned experts goes above and beyond to deliver high quality solutions tailored to your unique needs.
We are committed to providing you with reliable and secure annotation services following safety good practices and procedures. Once your project is completed, we go the extra mile to ensure complete data confidentiality. We have a strict policy in place where we permanently delete all data related to the project, leaving no trace behind. Your privacy is our top priority.
Our task is not to impose separate processes on our clients, but to fit as much as possible into existing process, part of which is data preparation, annotation, model development and finally transfer them for implementation in the client’s environment
We do have all the needed tools and knowledge to support our customers, and as part of the cooperation, we are happy to share our experiences and support our clients in implementing two basic frameworks that we use during the implementation of our projects: CRISP-DM and Data-Driven Scrum.
In general, the most important thing for us is to understand the client’s needs and determine the best strategy for the Computer Vision project:
Understanding data
Customer consultation
Data preparation
Project setup
Training for project team
Tasks assignment
Annotation of test data sample
Final adjustments
Annotation process set-up, Quality check
Delivery of data to the customer in iterations and customer feedback collection
Outsourcing is a great way to help your business as it progresses through its various growth stages, especially when talking about projects, which need to be fed with large datasets, there is always manual work to be done, like data cleansing, annotation, or augmentation.
A computer vision guru with extensive knowledge gained from a variety of AI/ML projects will assist with project plan set up, data labelling and training strategies and develop a detailed performance evaluation methodology.
A master of ceremonies who will prepare the right team for you, take care of tasks and communication with your team on a daily basis. He won't leave you without answers to your questions and will help remove any obstacles to achieving your project goal.
This is where the daily battle with the efficiency and quality of annotating your data takes place, these are the people who are trained by us and well prepared to deal with your data.
A specialist in computer vision and artificial intelligence methods will determine the optimal solution for your business problem and develop efficient object detection, classifica.tion or scene segmentation models
Unlocking the Power of Computer Vision in Geospatial Applications Computer vision has transformed industries by enabling real-time, automated multi-source geospatial image processing and intelligent content
Data annotation is a critical component of any AI project, particularly in the field of computer vision, where precise labeling of images or video data
Computer Vision integrated into business operations offers numerous benefits, including increased efficiency, lower costs, improved customer experience.
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