Data Annotation

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If the machines are learning, let us teach them well.

With the high cost and lengthy features of services for data annotation to machine learning and Artificial Intelligence models, we analyse the cost-benefits of multiple tiers before settling on the techniques for data annotation your project requires. Suppose you contract data annotation services for data annotation to SunTec India. In that case, you transfer the burden of a risky decision to experts in the field and save time and money.

Data Annotation

With the high cost and lengthy features of services for data annotation to machine learning and Artificial Intelligence models, we analyse the cost-benefits of multiple tiers before settling on the techniques for data annotation your project requires. Suppose you contract data annotation services for data annotation to SunTec India. In that case, you transfer the burden of a risky decision to experts in the field and save time and money.

Text Annotation

To ensure that text strings and keywords are understandable for ML and AI modellers, we provide multi-language annotation services that include metadata labelling. Our annotators are professional, alongside labelling text from multiple images into predetermined classifiers. They have a relevant description with the annotation to help create a more efficient and more precise data visualisation model. 

Our process can assist in training an algorithm for computer vision based on precise natural language interpretations. While companies have many uses to add text annotations, i.e., automated customer service, the main application is to train models that use ML/AI to have an effective conversation with humans.

Video Annotation

Our video annotation services precisely record, tag and label moving objects frame-by-frame from video clips to increase the effectiveness of your models for machine learning and extract the appropriate intelligence.

We tag video images using various techniques of annotating images. It can label specific parts of the image, allowing for complete segmentation. Every pixel is classified with its semantic value, enabling the Computer Vision model to work in the best possible way. One Annotation utilises an annotation of video segments to create an eye-based perception model.