In the midst of trending city/state/country lockdowns and social distancing measures due to COVID-19, we at Voxel51 want to highlight a vital role to the Computer Vision industry: the data annotator.
Although Artificial Intelligence (AI) has yet to achieve human-level understanding, the Computer Vision (CV) space is seeing rapid advancement towards providing machines with sight using Machine Learning (ML) and, in particular, Deep Neural Networks (DNNs). CV models, which extract insights from camera streams, images, and videos, continue to improve as more quality, curated data is pushed through training pipelines. Current industry-leading CV training methods still depend on human intervention to deliver high-quality annotations for training, which results in a huge demand for... human annotators! In a Lex Fridman interview of Cristos Goodrow, VP of Engineering at Google, Cristos mentions the importance of humans-in-the-loop for training ML models, and we couldn’t agree more.