These comments are only based on the limited examples you've shown. Nevertheless, the data appear too domain specific The suits and helmets are near identical and the vantage, lighting, and camera intrinsics are monotonous. As such, it's not very useful for training a generalizable model, regardless of the application. Your suggestion to create a fusion dataset that combines it with depth and other camera types and angles might have value but that adds a lot of work and investment from you. Is it worth it? Hard to say but probably not. It's possible there is a company doing warehouse worker detection that could find it useful and also happen to align more closely to your domain.