Computer vision is fast becoming one of the most transformative technologies in AI. The applications of computer vision span everything from autonomous vehicles to quality control and visual inspection, medical imaging, AI-powered visual search, geospatial and satellite imaging, retail, and eCommerce.
To train accurate computer vision models, you need accurate datasets. Aya Data’s team of data experts leverages cutting-edge tools to produce high-performing datasets for the computer vision models of today, and of tomorrow.
Optimize 2D Detection And Labelling With Bounding Boxes.
Increase AI Accuracy Through Precision Object Identification.
Categorize Image Elements, Pixel by Pixel.
Train Machines With Laser Precision And Clarity.
Developing machines that understand human language and communicate as we do has long been one of the ultimate goals of AI.
Many of us interact with chatbots and conversational AIs every day of our lives, and the field of NLP is becoming increasingly sophisticated.
NLP algorithms are used to extract and delineate named entities from unstructured data, helping organisations derive meaning from vast quantities of text. Sentiment analysis helps machines discern some of the most challenging qualities of written language: their sentimental and emotional attributes.
With each development in NLP, we are getting closer to creating machines that interact with written and spoken language in much the same way as humans.