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”
Tag Archives: data augmentation
Data Augmentation for Computer Vision
When given enough training data, machine learning algorithms can do amazing feats. Unfortunately, many applications still struggle to access high-quality data. Making copies of current data and making small modifications to them is one method for increasing the diversity of the training dataset. This is referred to as “data augmentation.” Data augmentation is a low-costContinue reading “Data Augmentation for Computer Vision”
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