Rayan Potter

Annotation means, in machine language simply making the things visible, recognizable or understandable in images, pictures, documents and videos by highlighting or marking or adding footnotes or...

Image annotation is becoming important for computer vision based all types of AI models developed through machine learning. In agriculture sector AI has set foot through various advance equipment...

Machine learning and artificial intelligence are essential tools in current technology, yet they are often underappreciated. As a result, you might be shocked to find that, according to the 2020 State...

Bounding box predictors, also known as region proposal networks (RPNs), are a class of deep neural network layers used in computer vision tasks to generate proposals that can create masks around...

What determines whether a patient is suffering from an illness, and when? When you hear the term AI medical diagnosis, your first impression may be that it's some synthetic human intelligence. In...

Deep learning has revolutionized the field of image segmentation. Semantic segmentation enables more accurate image understanding and interpretation by automatically identifying and classifying...

AI in healthcare is becoming more imperative, with more precise detection of diseases through medical imaging datasets. That helps AI models how to learn and detect the different types of diseases...

@ a:link { color: #0000ff } Bounding boxes is one of the most popular and recognizable image annotation method used in machine learning and deep learning. Using bounding boxes annotators are asked to...

Image annotation services becoming more imperative owing to more development in computer vision based AI models for the new fields. Agriculture is one of the most vital field need such cutting-edge...

Annotation of images is crucial to help machines or computer vision models identify and interpret the objects correctly. Annotation is done with predetermined labels with the help of expert human...