I would like to have an order of magnitude of ressources required to build an image recognition system.
Let say you want to build a startup company which main product will have to distinguish 20 different kinds of objects (bottle, dogs, car, flowers...). Images are already tagged.
- How many images are needed as a learning set ? 1k, 10k, 100k, 1 million ?
- What kind of hardware and how long will the learning process take ?
- How many developers, how much time ?
- Does it changes a lot if the number of target output is reduced to two kinds, or increased to one thousands ?
A link to a real life paper would be perfect. Thank you