Data Annotation Services
What is a data annotation service?
AI data annotation services is a process that tends to utilize other intelligence to label the data accumulated. Data annotation is the process of tagging data like images and videos or text and audio files for the creation of intelligent systems.
Facial Recognition
Geospatial Annotation
Image Masking Machine Learning
We as a data annotation company can help you.
Data annotation is important for machine learning. Infosearch BPO is a prominent data annotation company providing human powered data annotation services to various industries. We use our proprietary annotation tool and fully flexible to use third party or client’s tool if needed.
Types of data annotation services that our company provides:
Infosearch, being one of the leading data annotation companies in India, we provide various types of annotation services with the help of data annotation specialists, who are our in-house, full-time employees. We have been providing annotations on image, video, audio, text, point cloud data etc. We have been providing bounding box, polygon, polyline, key point, semantic segmentation, cuboid, 3d Lidar etc. annotations.
We have expertise in annotating Retail data, Healthcare, Agrotech, Autonomous vehicle, Sports analytics, Geospatial, Research labs, Fintech, Pharmaceuticals and many more.
Advantages of Outsourcing Data Annotations to Infosearch
You can enjoy all these benefits when you outosurce your data annotation services to us.
Cost Reduction: Outsource annotation will involve the use of cheaper human capital hence the cost of outsourcing is 50-70% less than that of implementing the same within the organization. This leads to a more flexible control over the spending of the balance of resources with more being given to activities such as model development and deployment.
Speed and Scale – It is easier for outsourcing providers to acquire hundreds of annotators within a short span of time from the target country and they are fully conversant with regional languages and versions of the market. This makes it easier to accelerate and possibly increase, to the amount needed, the process of data labeling for training artificial intelligence models.
Industrial Experience – outsourcing vendors have a lot of experience in many different fields of industry, auto-mobile, health care and banking. The above lead to improvement of the quality of the training data that can be developed.
Data Security – Today’s global outsourcing partners carefully adhere to data security measures in order to protect precious customer details and business ideas. As widely practiced risk control measures some of the most common include; use of security protocols in communication, limiting access in data and systems, and physical examination of the computer networks.
Together with cost and scale optimization, it allows introducing data-intense AI subsequently into more organizations with positive ROIs. As the usage of AI grows in enterprises around the world, outsourced data annotation services continue to play a vital role in the process of preparing raw data for analysis.
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