iNaturalist is a social network of people helping each other learn about nature
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When we started, our goal was to encourage people to go outside and engage with the world around them. We dreamt that the data gathered by the community would be used in scientific research, but weren't confident it would ever reach enough of a critical mass. It has! More surprisingly, we had no idea how important iNat's image dataset would become for computer vision research.
Again, so proud of the folks who have helped to make iNaturalist thrive and so glad it still exists in the world.
It makes me pretty happy that this is not a VC-backed startup.
0. https://www.gbif.org/dataset/50c9509d-22c7-4a22-a47d-8c48425...
More impressive even is that iNaturalist is seemingly entirely open source: https://www.inaturalist.org/pages/developers
The backend is Rails (4.2), the iNaturalist iOS app is native, the Seek app is ReactNative. It's really neat stuff.
Their 2019 Year in Review post is fascinating and impressive as well: https://www.inaturalist.org/blog/29540-year-in-review-2019
Fieldscope is a similar project that came out of NatGeo. It is currently operated by BSCS.
Fieldscope is now very old and is being rebuilt with modern tech. I did not write the app itself, but kept it alive for 2 years.
Working on it opened up my eyes to all the wonderful world of citizen science. Specially how many (really many) scientific datasets are available for open use.
One of the datasets I enjoyed working with is one that centers around the Chesapeake Bay project. It contains flora observations taken by citizen volunteers. It's very interesting to learn about the history of the Chesapeake Bay and to be able to map how it has changed over time.
I exhort those intersted in open source and science to look into tackling problems in this space. Observing and recording nature is not a solved problem. Better software will certainly help get there. I'm on the process of doing so myself. Makes no sense to waste all this experience without benefit open source and science.
If you are part of a scientific project please reach out to me. Email in profile.
Any other open source projects looking for help?
Instead of looking for project who need help, why not:
I know $technology, which projects are looking for help?
It's then a matter of a couple of web searching sessions. :)
BTE, almost all scientific projects are looking for help. It's a matter of fit.
My main stack now are C# and JS (Vue). Well, better start searching.
Best of luck!
Kinda feels like a real-life Pokemon — without the capturing and slaving part.
I haven't seen any monkeys and we have quite a few. I'll try adding some!
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Speaking of learning about nature, Crime Pays But Botany Doesn't YT channel.https://www.youtube.com/channel/UC3CBOpT2-NRvoc2ecFMDCsA
It sounds like this app will be different and useful, which is good.
Or G. sauteri, that looks more probable.
https://apps.apple.com/us/app/picturethis-plant-identifier/i...
See these iNat Video Tutorials for examples [1]
Didn't even know the one in the video existed until now.
I found an iNat page on uploading observations from Flickr [1] which is probably what you used. It seems to say you can add an ID for each upload but it doesn't say if the AI will help you with the ID, like with the direct uploading to iNat.
[1] https://play.google.com/store/apps/details?id=id.web.adiyatm...
A bit from 2017: https://news.ycombinator.com/item?id=14831794
Doing this with bacteria and virus opens the door to a world of legal problems and medicine trouble. I would advice against.
There are some iNaturalist projects specializing in microbes (more than just these two). A project isn't necessary to submit observations, but it can help bring it to the attention of others able to verify your identification.
Depending on the organism, it mostly works until it doesn't. :-) For example, in my region (Singapore), it's suggestions for mammals, birds and butterflies is mostly correct at Genus, Order or Family level.
I do agree that some identifications could be better and try to help by putting comments when I see something wrong (e.g., "this species is not native to the region"). But even putting in the wrong ID is better than not putting an ID and leaving a sighting as "Unknown". There is a huge pile of unknown identifications that nobody looks at because the experts usually filter by the organisms they know about.
Here is an old (2016) article about the AI recognition system being used by iNaturalist [1].
Edit: Doh! I was indeed thinking of "naturist". (Also, glad I don't care about the downvotes; intended mild joke, clearly whiffed on that too.)
Obviously, it's possible to be both!