Data annotation includes labeling data that can be both text and image. More specifically, it is known as image data annotation, including techniques like object classes, bounding boxes, and semantic segmentation. It is a crucial step in developing computer vision models, as the quality of the annotated data directly...
Machine learning is a type of artificial intelligence that allows computers to learn without being explicitly programmed. Machine learning is a set of algorithms that are trained on data. So, the better the quality of the data, the better the model will perform. This is where the data annotation...
Data annotation is the process of labeling data with relevant information. It is done in several elements of image, text, audio and video data. It is a crucial step in the development of machine learning models, as the quality of the annotated data directly impacts the performance of the...
Artificial intelligence is rapidly transforming the way we live and work. This magical sentient being is now found in every aspect of our lives, education or research. From self-driving cars to virtual assistants, AI is being used to automate tasks, make predictions, and improve decision-making. And let’s not forget...
With the advancement of AI in the present world, every sector is looking for the best services in the market. Among the many sectors, data labeling and image annotation is the most commonly used feature. These two services are required by various sectors like education, automotive, retail, agriculture, sports,...
Machine learning is a type of artificial intelligence that allows software applications to become more accurate. They help the AI in predicting outcomes without being explicitly programmed to do so. AI does this by learning the labels or codes humans, or programs teach them.  Machine learning algorithms are trained...