What is Data Labeling and Annotation?
The data for labeling used for machine learning or deep learning. And the computer vision AI models needs labeled datasets for supervised machine learning algorithms. And the data labeling is the process making the various things or objects identifiable to machines through computer vision.
Data Labeling
In machine learning development basically there are two types of AI models — one is computer vision based visual perception AI model and another is natural language processing based AI model. Data labeling the process of making the different types of datasets usable for machine learning algorithms.
For NLP based models texts and sentences are labeled with added metadata to make the words compressible to machine learning algorithms. In sentiment analysis, the texts are also analyzed to understand the actual meaning, and data labeling helps to make such phrases understandable.
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Data Annotation
While on the other hand, computer vision based AI models like drones, self-driving cars and robots are developed through computer vision training data. And data annotation is the process helps to create the most suitable and right training data for such machine learning AI models.
Image annotation is the most important ways of data annotation in which objects of interest are annotated to make them recognizable to computer vision AI model. And there are various image annotation techniques like bounding box, semantic segmentation, polygon, polyline, landmark and 3D point annotation making the various things around us recognizable to machines.
Anolytics offers one-stop data annotation solution for AI companies. It is involved in data labeling with expertise in image annotation producing the best quality training datasets for machine learning. Using the most advance annotation platforms, Anolytics offers the world-class image annotation solution for AI companies looking to develop the AI model for healthcare, retail, agriculture and manufacturing fields.
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