Speech recognition refers to a computer interpreting the words spoken by a person and converting them to a format that is understandable by a machine. Depending on the end goal, it is then converted to text or voice, or another required format. For instance, Apple’s Siri and Google’s Alexa use AI-powered speech recognition to provideContinue reading “How Data Annotation is used for Speech Recognition”
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Synthetic Data: Description, Benefits and Implementation
The quality and volume of data are critical to the success of AI algorithms. Real-world data collection is expensive and time-consuming. Furthermore, due to privacy regulations, real-world data cannot be used for research or training in most situations, such as healthcare and the financial sector. Another disadvantage is the data’s lack of availability and sensitivity.Continue reading “Synthetic Data: Description, Benefits and Implementation”
Image Annotation: A Quick Guide
What is image annotation? Image annotation is defined as the task of labeling and image with human-powered work and, in some cases, computer-assisted assistance. Labels are predetermined by a machine learning engineer and are chosen to provide information to the computer vision model. Image annotation frequently requires manual work. A Machine Learning engineer determines theContinue reading “Image Annotation: A Quick Guide”
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