Natural language processing is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data. Our trained NLP annotators can help deliver language annotation...
LIDAR ANNOTATION  LIDAR stands for LIght Detection and Ranging. It is a remote sensing technology emitting light that travels around the object and back to the receiver creating points every time it hits the object building a 3D map of the entire scene. We help annotate or label cars,...
DATA LABELERS  Data Labeler specializes in providing reliable and high-quality training data sets for Machine Learning/Artificial Intelligence initiatives and the main motive is to provide a pivotal service that allows companies to focus on their core business, while we create the data sets that you need to power your...
DATA LABELING  Data labeling enables machines to gain an accurate understanding of real-world conditions and opens up opportunities for a wide variety of businesses and industries. Data labeling is the process of detecting and tagging unstructured data to structured datasets. The process can be manual or assisted by software. ...
The deadly coronavirus (COVID 19) emerged in Wuhan, China, in December, triggering a global health emergency. With the coronavirus spreading in many countries and as a solution to this problem Artificial intelligence researchers are implementing machine learning techniques to social media, web, news, and other data sources for subtle...
Data Labeling includes the text, images, and videos to label the content of the object of interest in the images while ensuring the accuracy to make sure it can be recognized by the machines through computer vision. Annotation in Machine Learning is the process of labeling the data, which...
Automated Machine Learning Automated machine learning represents a fundamental shift in the way organizations of all sizes approach machine learning and data science. Using automated machine learning allows even non-experts to use Machine Learning algorithms and techniques. Many tools and applications are used to train custom-made and high-quality ML...