Decompilation via circuit images
 

Is there a good dataset out there containing pictures of many circuits e.g. a carry ripple adder, a Wallace tree multiplier, IEEE floating point operations, barrel shifters, leading zero counters, etc and so forth.

Would it then be possible to train a machine learning model to classify parts of circuits using that, so that to decode a complicated chip or even an FPGA circuit which is rendered as an image in a tool, component by component? It would seem to me like a really powerful way to understand or reverse complex logic circuits.

I will try to help answer your very "notice" (learn to spell first :p ) question in a way you can understand as you seem to be very new to this field.

There is something called a search engine. Google is a good example of one.
Open it in your browser and type your query in the search bar.
You will get a good number of answers. :D

Replied in your own style. :D

There are no simple answers to this. Please put the Google query and links to practical not theoretical resources specifically related then. Otherwise this is clear harassment and abuse.

There is this site siliconpr0n, who contains a lot of die shots.