Google Cloud Vision API is pretty powerful. But it needs more classifiers before I can use it in my work.
The customer is a scrapyard that wants to get the most amount from every recycled part. The cashier needs to be able to identify every part. Not many people, if any, can do that. So maybe Google Cloud Vision can identify the auto part for them. Maybe it cam filter BMW parts from Ford part.
I was amazed that the Vision API recognized that it was looking at car parts. However, the results as of 20171107 (November 11, 2017) were not good enough to solve this problem.
I think the image set has a lot of cars in it, but not very many disassembled cars.
The scrapyard would be happy to collect a library of images to teach a new set of classifiers. Unfortunately, I don't know how to use TensorFlow to do this. If you know how to teach classifiers in TensorFlow leave me a comment or send me an email.
No comments:
Post a Comment