Vatsal Ghiya, CEO and co-founder of Shaip has 20 years of experience in offering AI services in healthcare and has discussed the importance of major image and video annotation challenges in this latest guest feature.
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- Annotation types and techniques aside, data annotation is more complex than finding any other strategies. Also more than text and video annotation, enterprises need to focus on image and video annotation when it comes to preparing intelligent models as a lot of accuracies and skills are required to make these changes stick.
- Among all the major roadblocks is the massive amount of training data that companies struggle to manage. Unlike NLP models that rely on text and audio annotation, AI and ML projects need to work with a range of datasets and manage a better workforce.
- Additionally with a large volume of datasets maintaining their quality and consistency is another issue that enterprises have to deal with. But the bigger problem arises when the lack of reliable annotation platforms and maintaining compliance with lower data quality became a constant challenge.
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