Categorize after Object Detect

Hello,

We can detect objects in photos using YOLO. So can we categorize these results?

I am trying to do the following: For example, I have a folder with 15 thousand photos. After scanning the photos in this folder with YOLO and performing object detection, I want to select them according to the objects it finds. For example, I want to be able to select photos containing cats, seats, and people. Can I tag them or, for example, have them put photos containing cats in one folder and photos containing people in a different folder? Or can I find photos containing seats with any command? I hope I could explain what I mean.

To summarize, I want to have 15000 photos detected with yolo and then search and select them according to the objects they contain.

You can do with it whatever programming allows you. There isn’t any built-in command to do what you want, but it should be really easy to code this.

You have to essentially use the result from prediction to decide:

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I don’t know how to do this. In other words, after YOLO detects objects in photos, it overwrites the photo again. In this case, I have to look at 15 thousand photos one by one. I need to find a way to filter these photos according to the objects they contain without looking at them one by one.

You’re looking at the saved output. The link I provided shows how to use Python to get the results inside the program. You can then write code to perform actions based on that.

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