We have shown how one can create your own https://devkami.com/blogs/2021/01/11-ml-labeling/. Another way to get dataset is the Google Open Image Dataset.
This is a dataset that have 1.5 million annotations for 600 categories. It covers some common thing that trained in YOLO. You can have a shot at trying to see if the category exist.
To use this, I suggest that you use a tools, the one I use is the OID Toolkit, I use the fork by The AI Guy a youtuber talking about these. The annotations is likely not in a format you want. The reason I use the fork is the creator of the fork have a converter that convert into YOLO format.
While 600 category seems a lot, they also don’t have everything. Like rice and all that. Which is why it is still worth it to learn to label your own image. Even if it is slow