In order to train the model so it can produce a trustworthy data outcome, you need to feed your model with high-quality data inputs, and annotating it is one of the main parts of that process. If data isn’t well-annotated or contains bugs and biases, the data outcome will not be valid and it will result in time and money wasted. Simply to be said, data annotation and labeling terms are interchangeably used in order to refer to the technique of tagging labels in different types of content. This process is using data annotation tools for making objects of interest (video, text, image) recognizable to machines through audio processing, Natural Language Processing, and Computer Vision processing. They are all well connected and dependable on each other when it comes to Artificial Intelligence development, of which they are an integral part. For example, text-based annotations’ common feature is adding the metadata for creating the keywords which are easily recognized by machines in order to make valid decisions and outcomes. The video annotation process is supported with a feature of Computer Vision, by following the moving object(s) through the video. It can be also used for autonomous vehicles’ vision perception.
replied 8 months ago
Annotation is the art of classifying objects in different color contrast to train machine learning models. Annotation process is important as it gives the code or the understanding of images, videos, text and audio so to make easy and better learning of machine models. Basic Machine Learning can be done by reading and research for knowledge purpose but is if someone is looking for the advanced business solution for artificial intelligence then Global technology Solution (GTS) is the leading partner for providing AI datasets and Data collection for your business, here you can visit: https://gts.ai/image-and-video-annotation/