iNaturalist
inaturalist.org
inaturalist.org
My partner and I built this website with it a few years ago: https://www.owlsnearme.com/
(I realize this is a bit on-brand for me but I also use it to track pelicans https://tools.simonwillison.net/species-observation-map#%7B%... )
Fun to travel and "pokemon" some new local stuff too.
The iNaturalist app doesn‘t. It has more features, but Seek‘s former advantage „let me just the a photo and auto-identify“ is now in the iNaturalist main app, as well, so it is my default now.
Frustration shared.
The iNat API certainly has some quirks and shortcomings, but in terms of usability it's uncommonly good compared to most biodiversity platforms. I maintain the python API client[1], which is used for data visualizations, doing useful things with your own observation data (which is how I got into it), Jupyter notebooks, Discord bots, and some research/education workflows.
I got 0/4 though on the easiest difficulty level. Feature request: a version where you have to guess the common name instead, I think that would still be fun.
I once used it to check whether it would identify some birds that are prevalent in my area.
Not related to the app's fubctionality, but it was pretty funny when I replayed my recording of parrot noises to crop it and the next moment, a walnut shell dropped from the tree above.
Animals apparently don't like being recorded!
I really like how easy it is to use, the various views on the data (incl. geofenced projects and places), the fact you can export it all back out again, the volunteer and "AI" assist on IDing stuff etc.
But I guess the main other pro for me was that, in the UK at least, most of the data I've put into iNaturalist that's made Research Grade has also been imported into iRecord and NBNAtlas which wouldn't happen the other way round, so 3 for the price of 1. See https://nbn.org.uk/inaturalistuk/inaturalistuk-and-its-place...
I know there's various grumblings about observation quality from iRecord users relating to iNaturalist records, but I'm assuming this is people just not following the published guidance???
1. “Hide the start and end points of activities that start at SPECIFIC addresses.” 2. “Hide start and end no matter where they happen.”
Then it can be useful to add your home/work/routine locations.
If iNaturalist doesn’t have a setting like that, it’s a nice approach — especially if it’s included as part of initial onboarding flow — so it helps people without needing to remember to make visibility choices each time.
Like all people learn is "someone does in fact live at that address and they use this app"
My main concern was revealing my home address, however, and I don't believe my actions on iNaturalist allow folks to go from my name to my address.
Seems pretty unlikely even with a data leak, that someone would go through the effort, but it's worth acknowledging as a vector.
People who walk by the yard might tell their friends, but ordinary word-of-mouth can't be queried online. Not yet.
EDIT: We did have what turned out to be a significant invasive species observation. It was published in my SO's account with the location obscured. I looked up the species online and realized it might be a concern, so I killed it and put it in the freezer. In the meantime, the California Agricultural Inspectors got wind of it and contacted iNat to obtain the email address associated with the account. After making contact, they sent someone to pick up my specimen, and the later, 4 inspectors (yes, really, 3 inspectors and a supervisor) were sent to look for additional specimens. None were found.
Unrelated to this incident, I posted endangered species (not on our property) in my account, and iNat automatically obscures the location. Later on, I got an ~~email~~ message via iNat from the California Department of Fish and Wildlife asking for access to the precise locations, which I gladly provided.
IIRC, the exact chain of events was: Invasive Species Observation posted -> a curator at the LA Natural History saw the post and notified the CDFA (Agriculture Inspectors) -> CDFA contacts iNat to get email address -> CDFA contacts my SO. I don't recall whether iNat had a built-in messaging service at the time (they do now).
Regarding endangered species, the California Department of Fish and Wildlife evidently joined iNaturalist, in part to enhance their data collection. They seem to be monitoring iNaturalist and contacting users who have relevant observations. They seem very sensitive to privacy concerns, and cooperation is voluntary. I'm thrilled a state agency is engaging the public in protecting our natural resources.
These state employees have indeed been proactive.
One people search engine had ALL of my emails and screen-names, even the ones I created with my first Internet account as a kid in 1996. Wild stuff.
handling this concern is on our radar but I can't speak to delivery timeline. It my involve timed "obscured" windows (obscure things for this hiking weekend) and/or user-configurable geofences (obscure observations around my home but not anywhere else).
we _also_ want to respect the geoprivacy of wildlife: sometimes observations generate _problematic_ attention. For sensitive species, we want people to report them, but we don't want to be complicit in or responsible for interested people flocking to the observation and potentially spooking the observed species.
here's [1] some extra info on iNat's current geoprivacy treatment and [2] guidance on how to configure this for our different platforms for individual `Observations` (our core domain entity to which geo is attached).
I'll at least share that this is on our radar to look at, but I wouldn't expect changes in the next few months. For now, we still want your observations, but if this is a concern you have, please take a look at the geoprivacy settings!
[1]: iNat's geoprivacy explainer https://help.inaturalist.org/en/support/solutions/articles/1... [2]: platform-specific guidance on configuring geoprivacy for an Observation https://help.inaturalist.org/en/support/solutions/articles/1...
I guess it is different once you look at people renting, and also you could track a specific person posts to see when they are posting away from home for example. But as far as revealing your home address, sadly there are many other ways in a lot of cases
A problem I often have with Merlin is that the birds seem to know when I record them, and promptly stop singing...
[1] https://merlin.allaboutbirds.org/
[2] https://floraincongita.com/
For anyone who has cameras outside with a rtsp stream, it is incredibly easy to setup a real-time bird monitor around your property. It's amazing what species it will detect every day.
I'm looking for the same thing for insects but haven't found one. I want to know all the things I'm hearing.
It's so satisfying to hear/see a bird and actually have a chance at getting it right
Oh man. This is THE ONLY REASON why AI at scale works...and it's entirely powered by extremely repetitive classification done by people in third-world countries (for now; there are similar jobs in US and Canada for harder domains like math and law). It's definitely the biggest reason why autonomous driving works.
(Cornell, who maintains Merlin, probably has students do it, though I know there is data crowdsourcing in the app too.)
As far as I understand it, classification data is basically the Brent crude of the AI industry (well that and the datasets used for training LLMs).
There was a great investigative article done by The Verge that built a piece around interviews of people at a data labelling center in Kenya and other African countries: https://www.theverge.com/features/23764584/ai-artificial-int....
It paid well for the area until the company that spun up these services decided to move operations to SEA to save on cost. I'll try and link to it if I can find it.
Here are similar articles on this topic:
- https://www.vice.com/en/article/china-ai-dominance-relies-on...
- https://www.bbc.com/news/av/world-africa-66514287
- https://old.reddit.com/r/ArtificialInteligence/comments/1r7q...
It's actually insane how sparingly this is discussed when talking about advancements in AI.
I'm going to give Merlin a try - the app has UI to download the network for offline use.
Great app, easy interface, friendly community. Thank you iNaturalist team!
So I would take walks and try to identify any plant I didn’t know. The first day I didn’t even make it around the block. Over the course of moths I got better and could go a few miles before spotting a (native) plant I had no idea about. Now I know when most flowers bloom, what’s wdible, what’s poisonous, what’s related, and it’s fun to share with other plant people too.
Seattle is such a beautiful place to learn about plant life, since it is so temperate the city is like a world tree museum. Almost any kind of tree that doesn’t prefer desert will grow here and people over the centuries have planted many unique and exotic varieties.
Conversely, its also beneficial to report sightings of helpful bugs/birds/bats/etc. so can get an early warning when a population starts to thin out.
https://www.abc.net.au/news/science/2025-07-10/inaturalist-d...
https://www.sydney.edu.au/news-opinion/news/2025/05/09/the-c...
Tech blogs or pointers would be great
For client side rendering, deck.gl is quite good, also a newer library called lonboard from DevelopmentSeed.
https://github.com/inaturalist/inaturalist/blob/main/app/ass...
https://github.com/inaturalist/inaturalist/blob/main/app/ass...
https://github.com/inaturalist/inaturalist/blob/main/app/ass...
- low zoom -> server aggregated grid
- high zoom -> switcher to point tiles
browser just displays images, there is no work to do on client side..
I generated a visual schematic how these kind of systems work: https://vectree.io/c/server-side-geo-tile-rendering-elastics...
You can keep an eye on (gh) polli-labs/linnaeus (a bit stale; I'll rebase on my private repo later tonight-). There's some cool ideas in here to exploit the structure of taxonomic hierarchies to help the model approach recognition how a professional taxonomist might.. so working from coarse to fine, taxonomy-guided label smoothing (distributing alpha mass by taxonomic distance)..and (forthcoming) RL on expert consensus to teach abstention (if an expert could only identify a specimen to genus for some set of inputs; then our model should abstain from a species classification for the same inputs). Unfortunately I am very, very compute-constrained- but shooting for late April/first week of May for insect + flowering plant models. (Other taxa will come later; probably as unified model). I'm working on camera-based (automated) ecological monitoring systems for ~6yrs at this point; it's a really fun problem space! dropped out of grad school to go all-in on automating my favorite job I ever had (pollination ecology field research..watching flowers for visitations!); since I knew I'd always be a mediocre ecologist- but an engineer that happens to care about ecology could be very very valuable to my field.
a taxa recognition model turns out to be only a small piece of the system you need to extract structured observational data from cameras in the field :-) Working with one of my partners right now to launch a really cool demo of what's possible these days- Texas folks especially; keep an eye out on wildflower.org around May 1!
I'll spill more ink soon but (anyone) please get in touch if you find these things interesting. Or if you'd like to help me out with compute/expenses!
User Insights and Analytics Manager https://app.beapplied.com/apply/kwwnthztts
Technical Delivery Manager https://app.beapplied.com/apply/ppeyvinuw4
Plus having a project is cool to see other observations in a given ecological area https://www.inaturalist.org/projects/wild-mile-chicago
As it stands, I don’t really have a system in place, and I don’t want to put a lot of effort into a lossy (assets get compressed and stripped of metadata) online project.
1. Mostly use the mobile app, and take photos and upload observations directly from there. Local photo collection either isn't a priority or is backed up by their phone's cloud sync.
2. Mostly use inaturalist.org via a desktop browser, with either a standalone digital camera or mobile photos synced to desktop. Local filesystem (hopefully plus backups) is the source of truth.
I have been working on a desktop application[2] with a long-term goal of full bidirectional sync, and a secondary goal of offline usage. The current feature set is fairly modest and read-only, though, focusing on organizing local photos using data from iNat.
Birdnet iirc has separate recording, selecting, uploading, and results steps, which I tried to teach but it's too much. iNaturalist confuses even me about what buttons I'm supposed to be pressing if I just want to know what plant I'm looking at and not upload whatever (meta)data about me and my device to whatever (public?) database. Definitely recommend anyone to check out Whobird if you just want a simple, offline solution for bird sounds!
https://www.gbif.org/dataset/50c9509d-22c7-4a22-a47d-8c48425...
https://www.gbif.org/dataset/8a863029-f435-446a-821e-275f4f6...
The fact that this even exists is so sad. CORS is such an ill-conceived idea
it's not my wheelhouse, but it would be comedic so let me know if you get the legit cloudflare host connection warning _and then_ land on the how it works that you mentioned looks like cloudflare.
Also I am unclear as far as the app. Is it F/LOSS? If so, why is it not on other repos like F-Droid?
does it allow to save observations without publishing? want a pokedeck
While I started using iNaturalist initially to satisfy my own curiosity about the animals and fungi I was seeing, and then expanded my usage to contribute to science in some small way, a huge unexpected benefit has been having my photos catalogued and findable by species, family, date or location. If I want to show a friend the monitor lizards I saw fighting over a huge fish in Thailand, I can find it no problem even if I don't remember exactly when that was. If I want to show someone all the cool frogs I saw in Indonesia, easy. If I can't remember where it was that I encountered a gray fox casually strolling down the trail, I can find it. Google photos and other AI tagging solutions are never going to be accurate and detailed enough to be useful in this way.
It is really an amazing tool with a shockingly friendly, welcoming and helpful community, in stark contrast with the eBird community which I find is quite unwelcoming to beginners. For example, if you make a questionable ID on iNaturalist, folks from the community will suggest what they think it might be. If you claim a rare bird on eBird you can expect a gruff email demanding evidence, or you may have it removed from your list pre-emptively. That experience may not be universal, but I have seen it multiple times. Telling people on the internet they are wrong is a favorite activity of many so I really think it's commendable the culture that iNaturalist has been able to foster.
For those who don't know, iNaturalist was created by and remained a part of the California Academy of Science until relatively recently when they were spun off into their own nonprofit entity.
For a while now the long term vision, product and engineering decisions they are making have been a bit questionable to me. The web version feels like abandonware and has some very clunky experiences. The iOS and Android apps function differently and have separate longstanding bugs, don't support all the functionality of the web version, and are also mostly abandonware while the eng team focuses on a new app that is a rewrite. Seek feels like it's trying to be Pokémon. iNat next, the new version of the iNaturalist app, has a nicer look and feel but seems like it will be released missing functionality both from the old apps and from the website.
I am not sure how important my own gripes are as a power user, perhaps in the end it will be better for new users, but it sort of feels like iNaturalists goals as an organization may not be as aligned with the original charter as they once were. For the purposes of financial stability it is probably most important to grow the user base. For the purposes of supporting citizen science initiatives it's probably more important to grow geographic distribution and the number and diversity of observations submitted, so a more balanced approach to growing the user base and supporting power users (and converting new users into power users) would probably be the approach more aligned with their original goals.
I'm not sure that's the case, my impression was they simply took funding from and sheltered under the CAS until they split off to their own organization.
In their new independent structure they're claiming to be a public interest science non-profit, but as they don't publish their models or model-building-process, it's non-replicable, so in my view it's not Science, and the public never gets their hands on the product.
it sort of feels like iNaturalists goals as an organization may not be as aligned with the original charter as they once were
As another user who has contributed five digits of observations (over double yours), I couldn't agree more.
I am a little unclear on what you mean by not science. The secrecy around their models certainly makes them not open, but are you saying that any research based on the data is not science?
That means, if a large part of iNaturalist's ongoing activity (which they are sheltering from government taxation under a public interest Science claim) is refining an inference model offered only as a service, it's not capital-S Science unless they make the model build path open and others can replicate and test it freely.
There's actually a fair case that it's the exact opposite, as a public encouragement to systemic ignorance and belief without evidence.