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Description

Data, in general, is the lifeblood of assisted Machine learning projects. The more data you have, the more accurate the end-product will be. However, it is not simply enough to have raw data. You need to have this data annotated so that the machine learning algorithm can properly identify the objects in a given image, understand human speech, and many other functionalities.
Even on the surface, we can see the correlation between correctly annotated data and the success of the project. However, this is also supported by research since according to some estimates, 80% of AI project development time is spent on preparing the data.
For More Information Visit:-www.tagxdata.com/semantic-segm…

Description

Data, in general, is the lifeblood of assisted Machine learning projects. The more data you have, the more accurate the end-product will be. However, it is not simply enough to have raw data. You need to have this data annotated so that the machine learning algorithm can properly identify the objects in a given image, understand human speech, and many other functionalities.
Even on the surface, we can see the correlation between correctly annotated data and the success of the project. However, this is also supported by research since according to some estimates, 80% of AI project development time is spent on preparing the data.
For More Information Visit:-www.tagxdata.com/semantic-segm…