ENCORD assessing the quality of both annotators and their output .”
In addition , harnessing automation can allow data labellers to become more efficient .
“ Since a typical annotator has many years of experience in the industry , annotating data in the healthcare sector is expensive . As a result , AI businesses want to make sure that the annotation process is as straightforward as possible for them ,” said Heindl . “ It makes sense to automate repetitive tasks , like finding a tumour across multiple images .” For instance , if the annotations for the first and final image of a tumour are provided , algorithms can automatically fill in the images in between .
“ This accelerates the annotation process while also enhancing the platform experience for the annotator .”
Allowing healthcare professionals to do their jobs Despite all this great innovation , problems persist .
“ There are many problems ,” Landau explains . “ In getting your data to solve the
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