AI/ML Training Data Annotation

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We are providers of professional annotation services using our in house employees. We have acquired experience in more than 15 different types of annotation over the years. We are known for high quality and timely delivery hence our clients engage us as a preferred annotation partner for all their annotation requirements. We work with Artificial Intelligence, Machine Learning, Image Recognition, Autonomous Vehicle, Research Labs, Robotics for training of data.

We currently deliver over 30MM data points a month using our In house team. The data annotation team is capable of drawing Bounding Boxes, Cuboids, Polygon, Picture Classification / Tagging, Text Annotation, Image Masking Annotation, Data Annotation & Labeling, 2D & 3D Annotation, Semantic Segmentation, 3D LIDAR Annotation, Autonomous Vehicle, Tagging of aerial view pictures, Drone Technology, Contour Annotation etc.

It’s an era of Artificial Intelligence and AI needs training to produce required results. The process of machine learning, deep learning or computer vision demands human intervention to make the learning effective. It’s required to train large volume of data to make it possible. May it be driverless cars, food delivering drones, Image recognition and so on it needs human powered content to make the automation successful. So we provide manual annotation services, thus training the data for machines and then we automate the process.

If you are looking for an outsourcing company for your annotation services, be it image / data analysis, detecting shapes or objects, 2D or 3D annotation or semantic segmentation, video annotation etc, Contact Us

Semantic segmentation is a pixel level annotation task. The objects are segmented individually and classified as per the class labels. Since it’s done at the pixel level the time consumption is more but at the same time it gives deep predictions. The deep learning model is widely used for autonomous vehicle, object classification etc. Read More
Image annotation & tagging refers to Tagging of objects in an image for machine learning purpose. The labeling of each object in an image is tagged with object class or name. This is widely used in retail intelligence companies and Image recognition companies. The availability of products in retail shelf is an important element in product sales. The shelf needs to be monitored and ensure adequate stocks are available in shelf for customers. Read More
Image annotation & tagging refers to Tagging of objects in an image for machine learning purpose. The labeling of each object in an image is tagged with object class or name. This is widely used in retail intelligence companies and Image recognition companies. The availability of products in retail shelf is an important element in product sales. The shelf needs to be monitored and ensure adequate stocks are available in shelf for customers. Read More
Image annotation & tagging refers to Tagging of objects in an image for machine learning purpose. The labeling of each object in an image is tagged with object class or name. This is widely used in retail intelligence companies and Image recognition companies. The availability of products in retail shelf is an important element in product sales. The shelf needs to be monitored and ensure adequate stocks are available in shelf for customers. Read More
Having an entity annotated corpus of the clinical domain is one of the basic requirements for detection of clinical entities using machine learning (ML) approaches. … Our annotation also reflects the relations among the group of entities that constitute larger concepts altogether. Read More

 

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About Digit88
Our team at Digit88 has 40+ years of collective product and offshore experience with MNCs and startups and many successes to our credit. We build high performing teams and well-engineered products! And we excel in a fast-paced agile environment!