Categorize after Object Detect

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1

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.

2

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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3

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.

4

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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