I have a lot of untagged photos on my hard drive, loosely organized in folders. My image collection is large enough now that the folder structure is getting too cumbersome. I know a lot of photographers use metadata tags but at this point my library is so large that it'd take me months to tag everything. I'm looking for a program that will iterate over my photos, detect from a wide variety of object types and subsequently append those object labels to the image's metadata as tags.<p>Any ideas?
Depending on how they were taken, it may not need to be that complicated. Most phones for instance embed GPS coordinates in photos metadata, which can be accessed by some photo organisation software.<p>I'd be interested if anyone does know of anything that can do what you ask though, I know lightroom can recognise faces, but more organisation is always good.
Maybe something like facebookresearch/detic<p>You can try it out in replicate: <a href="https://replicate.com/facebookresearch/detic" rel="nofollow">https://replicate.com/facebookresearch/detic</a><p>If you're not a software engineer, would you pay for this as an app?<p>Might need to build it over the weekend lol
Calvin Davis Jr.
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If you have some software experience, look up detectron2 from Facebook. What you are describing would be very easy to do with their toolkit - they have a notebook that can get you started. But it assumes you can program in python
I know you've probably already thought of this, but be sure to give the tags a signature, so you can revise them later when a newer, better model comes along, OR you do manual corrections.