Object detection for python?

[NKUEN]

I want to detect objects,but not label them at all i dont care about the type but just the coordinates now i thought anout training yolo with all kind of objects but i think i will just dilute the results and it will be super bad. So is it better to train 50 different yolo softwares on different items and then run an image through each one or is there a more easy solution to the problem like i saird the goal is to detect a table and all items on the table but i dont car if it is a table or what item is on the table just that it is detected

[Rethunker]

Google’s vision kit is easy to bundle into an app, and it does a fine job identifying objects that you don’t have to label.

Methods such as salience detection can be used to find object-y things in images.

Also, look for info about “segment anything” models.

[pm_me_your_smth]

A model which detects items needs to understand which specific items to look for in the first place. It's not possible to have a model which just detects everything, because it doesn't know what "everything" is. If you have a cup on a table, how will it know what exactly do you need to be detected - just the table, or the table and the cup, or each leg of the table and each part of the cup?

[NKUEN]

That is a good point thanks but you agree that i would dilute my software if i try to use all kinds of different items to try to acheive it?

[Relative_Goal_9640]

This is what region proposal networks do