3 ms·
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 notebo
by version_five 4y ago
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
- hyperific 4y agoI'll check that out, thanks!
- hyperific 4y agoI've messed with Yolo a little bit for another project. Do you think that could be fruitful? Ideally I'd like to use something that's able to discern between fairly similar things. Like "hummingbird" vs "bird" or "man" / "woman" versus "person".
- version_five 4y agoFrom what I understand, what's most important to you is having a model that's already trained on something, rather than the architecture. Yolo is probably fine, as would be some of the older ones. You should be able to find a model that's been pretrained on COCO - you can look at see what classes are included. I don't know if there are other broadly trained models available that will serve your purpose. What I'd do is just run your picture through a COCO trained object detection model and see if the annotations do what you want. Though backing up a bit, there are also image captioning models that may better do what you want to do for organizing your photos. I'm not really familiar with any - though I did come across BLIP the other day but I haven't used it: https://github.com/salesforce/BLIP https://github.com/salesforce/BLIP This may be a better way to get at what you want