Which Type of Data Annotation Is Right For You How to Get it done (Computers - Information Technologies)

Item ID 2378612 in Category: Computers - Information Technologies

Which Type of Data Annotation Is Right For You How to Get it done
Teams must decide what type of data annotation is right for their application. This is an important question because data labeling can be expensive and time-consuming, but it is critical to the model’s success. So, teams are stuck with an often complicated cost-benefit analysis when it comes time to annotate their data. While it might be tempting to settle for image classification – it’s probably the cheapest and easiest to achieve – its applications are very limited. If we think about an autonomous vehicle computer vision model looking out into a complex urban environment, we begin to see that just recognizing whether there is a human in its sight or not will not be enough. To avoid running the person over, the car also needs to know where the human is. If we take a medical computer vision application – identifying the shape of cancerous cells, we need instance segmentation, to differentiate between different instances of cells. Defining the whole image as “cells” won’t help us localize the problematic cells or to understand the extent of any problems.
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Target State: All States Target City : Indore Last Update : Sep 16, 2023 12:41 AM Number of Views: 53	Item Owner : Prashi Ostwal Contact Email: Contact Phone: 09131920438

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2024-04-27 (0.389 sec)