Semantic image annotation is a powerful mapping technology used to identify and extract data from images. It enables machines to recognize objects within images by automatically labeling them with precise labels that are tailored to the needs of the data application. This state-of-the-art mapping technology can help streamline image classification and object recognition tasks, providing actionable insights for businesses using large scale image datasets. With tailored algorithms and deep learning models, semantic image annotation can reduce human labor costs while increasing accuracy. Further, the scalability of the technology makes it an ideal solution for those wanting to quickly extract meaningful data from their large image resources.
We also specialize in Semantic Image Annotation while tagging images using multiple vocabularies from the list supplied by the client. This enhances image retrieval for businesses with operations involving different countries and languages.
Semantic segmentation is a state-of-the-art model to annotate pixel-level image segmentation. Our Image annotation solution enables you to do semantic segmentation with precision and highest-quality which helps in building state-of-the-art computer vision models.
Some of the domain areas we specialise are drone imagery, robotics, AI driven automobiles industries.
For example, we build drone based models using segmentation which eventually gives a deep understanding of scene completely. Understanding a scene is a core computer vision problem but is solved easily by our solution. Segmentation enables robotics industries to handle manufacturing, hospitals through ai in a much efficient way.