dataset annotation

Dataset annotation is the process of adding informative labels or markings to data, such as images, videos, or text, to help computers understand and interpret that data. For example, in an image, annotations might highlight and label objects like cars or trees. This process allows machine learning models to learn patterns and recognize similar elements in new data. Accurate annotation is essential for training effective AI systems, providing the context needed for the technology to perform specific tasks such as object detection, language understanding, or facial recognition.