[instagraham]

I have no programming expertise but I'm looking for ideas that use YOLO to detect stuff like this. I was thinking of a way of automatically tagging and collecting data from my daily commute dashcam/GoPro footage - number of EVs, demographics of traffic, etc.

I want this to be a project that teaches me the ropes but since I need instant gratification, I'd like if the result also offered value to others.

The one thing I want to avoid is cleaning up data, since spreadsheets give me the ick.

[IanCal]

Have a look into Sam, groundingdino, groundedsam

https://github.com/IDEA-Research/Grounded-Segment-Anything

You can use that to take images and generate annotated segmented images/masks that you can then train a YOLO model on. I've done this for prototypes before and it's a very quick way of getting started as you can hand off the really annoying annotation work to a machine.