Author Archives: Roger Max
Image analysis tasks need segmentation. The technique of linking each pixel of an image with a class name is known as semantic segmentation (such as flower, person, road, sky, ocean, or car). Semantic segmentation may be used for a variety of purposes, including medical imaging analysis, autonomous driving, industrial inspection, classification of satellite imagery. Many…
In computer vision systems, semantic segmentation is a difficult problem. To address this issue, a variety of technologies have been developed, including autonomous cars, human-computer interfaces, robots, medical research, agriculture, and so on. Many of these strategies are based on the deep learning paradigm, which has been demonstrated to be quite effective. In the grand…
Labelling data for NLP training is not a simple task; it necessitates a wide range of skills, expertise, and effort. High-quality annotated data is required to train the algorithm, which aids the model in recognizing numerous identifiable items. However, while labelling various forms of data, businesses run into a variety of issues, making labelling jobs…
Many blogs address the effect of AI in the financial and insurance industries, but many of them focus on far-fetched AI and machine learning concepts that have yet to be proven or implemented in either. The ‘uses’ list below details application approaches or strategies that are now in use, although softly, slowly, and behind the…
Machine Learning refers to the process through which a computer learns and changes its operations based on patterns identified in vast quantities of data. When we think about machine learning, we think of a few well-known instances. For example, the way Amazon recommends products is remarkably similar to Google searches you’ve done. Machine learning’s reach…