Video annotation is the new frontier of data labeling, due to rapid advances in computer vision-based machine learning and AI. However, video data is still difficult to annotate because it is highly complex, both technically and in terms of the density of annotation. Managing the annotation pipeline for video data is much harder than with images. Video is dense, hard to manipulate, and generally more difficult to make something useful out of. At Alegion, we have built a powerful, efficient, and comprehensive solution for video annotation that empowers teams to solve their largest and most complex computer vision problems.
Nathaniel Gates is a career technology worker and entrepreneur with a focus on the Cloud Computing and Machine Learning industries. Nathaniel co-founded Alegion in 2012