First of all, I know nothing about tensorflow YET. But I’m curious about the image classification / recognition feature and I want to learn it. But I have some questions regarding it.
Lets say, I have 1000 pics about differenct car parts / products (also 1000 parts)and they are fix,static, they never change. Tensorflow should recognize 1 product from those 1000. How fast will tensorflow give an output? How does the speed change if I would have like 10.000, or, just 100 products? Is this actually good use case for tensorflow? + How accurate will be the output?
Thanks for the answer in advance!