Automation of real life and industries indeed needs the Machines to envisage the objects with high quality superior learning annotation input services. We, Mei Infotech, offers superlative data annotation services conforming to a high standard of resolution, morality and business ethicsLearn More
Data Annotation enables the machines to learn and train datasets with the highest level of accuracy by confronting international standards of data quality
Consistent and constant sourcing of streaming data is one of the industrial demands for the machines to learning and training of the real time environments. The scalability of the work force and economic challenges the growth and fulfil the project completion. We have well trained and experienced work force to execute and implement the demanding solutions of all situations
We gained strong trust and confidence of our clients on the privacy, security and confidentiality of data in work execution by adhering to the international data security, privacy and confidentiality norms.
The machines or robots executes tasks with perfect performance as super human. Sizable amount of raw data is analysed, feeds as integral machine dataset of AI machine learning.
Machines behaves in accordance with the conditions established on data set. The work alike human nature depends on the reduction of narrow boundaries between the feed data and real time data. The data annotation is one of the easiest and reliable successful method on out performing this.About Us
Data annotation is the process of adding categories, labels, and other contextual aspects to a raw data set so that computers can interpret and act on the information.
Although data annotation can be utilised with visuals and audiovisual components, it is most commonly employed with numerical data and alphabetical text in AI and machine learning.
The Bounding Box is an abstract rectangular container. Group of points or an item is contained within the bounding box. The process of describing the border co-ordinates around an image is termed as “Bounding Box” in digital image processing.Learn More
With pixel-level accuracy, the semantic segmentation and annotation aids in the identification and classification of the items. It is used to segment and annotate objects in one of the available classes so that machine learns more accuratelyand classify them.Learn More
The training model for autonomous driving needs pixel-level annotation. According to the Project demands we offers line annotation services with best tools and structured line annotation data.Learn More
Polygon annotation is used to mark irregular shapes or coarse things so that machines may recognise them quickly. To create polygon annotated datasets for machine learning models we are empowered with the human image annotation service.Learn More
Computers / Machines / Robots envisage the moving objects in the natural environment through labelled objects in videos. Each object of interest in the video is marked up frame-on-frame by tweaking the algorithms so that machines can recognize it.Learn More