Our director Martin was interviewed last week for Tagging.tech. He spoke to Henrik de Gyor, Chief Consultant at Another DAM Consultancy, about the potential that machine learning has for the DAM industry and the progress that needs to be made for it to be truly useful for users.
- The MVP we developed in record time to gain feedback from Asset Bank users on the visual recognition capabilities of API providers Clarifai and Google Cloud Vision.
- How the tags suggested by the these APIs are probably not accurate enough to be used for most digital asset management needs without human oversight.
- Where the API vendors should focus their efforts if they want to appeal to the (huge!) DAM market.
- How a hybrid of machine-suggested tags and human input can work well to save time in the tagging process.