Hi, We have another open source solution for you - Photonix (https://photonix.org/). We've been working on it for a few years now but it's getting more feature-rich every month.
Key features: web-based, ML auto-detection of objects, colors and styles, map view, Android and iOS apps, ARM/Raspberry Pi support, works with your existing photo folder structure.
Face recognition/matching is almost done and we're also planning a cloud-hosted service for those that don't want to/can't self-host.
For those interested in the tech - the backend is Python, frontend is React-based, ML is done with Tensorflow/Keras, building is done via Docker, APIs use GraphQL.
Hi @rochak. Thanks for the feedback. We do allow for tagging but the UI is a bit hidden on the photo detail screen right now. If you click a thumbnail and then scroll down you can see the auto generated tags, histogram, location and can add tags of your own. I'm going to change that part of the UI soon so it comes in from the right I think and has an icon to access it.
Hi @rochak. I've been wanting something similar for a while and have been working on my own solution with a focus on privacy and open source. For this reason all image analysis (AI/location awareness etc.) is done locally and it can all run within a Docker container. This is the site so far and there's also an online demo: https://photonix.org/
For those that don't know yet, Photonix is a self-hosted photo management web app with machine learning image analysis (object detection, style recognition, color identification etc.). I've been working on it for a couple of years now but development pace has really picked up since I hired another developer work with me.
I'm aiming to give monthly progress from now on so this blog post details all the new features that have been added in the last month-and-a-bit. This time we have star ratings, range filtering, text search, performance optimisations, general tagging and more.
Please give it a try if you have time - we have a demo server which makes it very simple. I'd love to hear your thoughts. Thank you for your time, Damian.
Key features: web-based, ML auto-detection of objects, colors and styles, map view, Android and iOS apps, ARM/Raspberry Pi support, works with your existing photo folder structure.
Face recognition/matching is almost done and we're also planning a cloud-hosted service for those that don't want to/can't self-host.
For those interested in the tech - the backend is Python, frontend is React-based, ML is done with Tensorflow/Keras, building is done via Docker, APIs use GraphQL.
Hopefully see some of you over at https://github.com/photonixapp/photonix