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Comparison to Zooniverse, track users? #10
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Hi! Thank you for your interest and kind words! I would be happy to help out for your use case, if needed. The main difference to Zooniverse is indeed the Active Learning and model support. Also, our software is significantly leaner, and perhaps more targeted towards wildlife conservation (which was the starting point for developing it in the first place). |
Solid. Pencil us in for a week's worth of work maybe in a few weeks. Let me know if I can be useful as a test user. In terms of functionality I can imagine a few interesting aspects of our use case. One other area of interest for us would be the ability to overlap multiple layers and have a toggle on/off. We have RGB images as well as coregistered LiDAR/hyperspectral images which we can show as a .tif. I am happy to fork the repo and work a bit to help too. |
Should I wait to play around until the major release, or will the workflow be similar enough that I can get the hang of it? |
Most of the workflow will be the same; the new version will mainly have a lot of added functionality to it. In the future, we will replace the main branch with this one. Users running the current version and wanting to upgrade can do so by cloning the new version and migrating the database with the provided script. |
This looks like a great tool! Well done.
We'd be interested in setting up an instance for Tree Detection (also a AI4earth project). Couple quick questions as I scan the repo.
Does the workflow track users? Can be useful for scoring annotator quality.
I like the integrated model training, looks attractive. In general, how should I think about this tool versus Zooniverse? Where to use one versus another. They've got a nice front end builder, but this has better backend active learning? Is that the general idea?
@agentmorris if you've got feedback too.
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