With new technologies revolutionizing data collection, wildlife researchers are becoming increasingly able to collect data at much higher volumes than ever before. Now we are facing the challenges of putting this information to use, bringing the science of big data into the conservation arena. With the help of machine learning tools, this area holds immense potential for conservation practices. The applications range from online trafficking alerts to species-specific early warning systems to efficient movement and biodiversity monitoring and beyond.
However, the process of building effective machine learning tools depends upon large amounts of standardized training data, and conservationists currently lack an established system for standardization. How to best develop such a system and incentivize data sharing are questions at the forefront of this work. There are currently multiple AI-based conservation initiatives, including Wildlife Insights and WildBook, that are pioneering applications on this front.
This group is the perfect place to ask all your AI-related questions, no matter your skill level or previous familiarity! You'll find resources, meet other members with similar questions and experts who can answer them, and engage in exciting collaborative opportunities together.
Just getting started with AI in conservation? Check out our introduction tutorial, How Do I Train My First Machine Learning Model? with Daniel Situnayake, and our Virtual Meetup on Big Data. If you're coming from the more technical side of AI/ML, Sara Beery runs an AI for Conservation slack channel that might be of interest. Message her for an invite.
Header Image: Dr Claire Burke / @CBurkeSci
Explore the Basics: AI
Understanding the possibilities for incorporating new technology into your work can feel overwhelming. With so many tools available, so many resources to keep up with, and so many innovative projects happening around the world and in our community, it's easy to lose sight of how and why these new technologies matter, and how they can be practically applied to your projects.
Machine learning has huge potential in conservation tech, and its applications are growing every day! But the tradeoff of that potential is a big learning curve - or so it seems to those starting out with this powerful tool!
To help you explore the potential of AI (and prepare for some of our upcoming AI-themed events!), we've compiled simple, key resources, conversations, and videos to highlight the possibilities:
Three Resources for Beginners:
- Everything I know about Machine Learning and Camera Traps, Dan Morris | Resource library, camera traps, machine learning
- Using Computer Vision to Protect Endangered Species, Kasim Rafiq | Machine learning, data analysis, big cats
- Resource: WildID | WildID
Three Forum Threads for Beginners:
- I made an open-source tool to help you sort camera trap images | Petar Gyurov, Camera Traps
- Batch / Automated Cloud Processing | Chris Nicolas, Acoustic Monitoring
- Looking for help with camera trapping for Jaguars: Software for species ID and database building | Carmina Gutierrez, AI for Conservation
Three Tutorials for Beginners:
- How do I get started using machine learning for my camera traps? | Sara Beery, Tech Tutors
- How do I train my first machine learning model? | Daniel Situnayake, Tech Tutors
- Big Data in Conservation | Dave Thau, Dan Morris, Sarah Davidson, Virtual Meetups
Want to know more about AI, or have your specific machine learning questions answered by experts in the WILDLABS community? Make sure you join the conversation in our AI for Conservation group!
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- @Bijin
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I am a high-school student who enjoys wildlife photography and the intersection between technology and conservation.
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- @claudlacroix
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PhD fellow using deep learning to investigate marine fish acoustic signals and social behaviour.
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- @kenadyWilson
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- @cristiar.samosir
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Just a woman passionate in conservation practices
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I am a biology undergraduate student who is interested in the field of wildlife conservation and has skills in field observation and identification
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- @luciana.rocha
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I'm a young agronomist/expert in the planning and management of protected areas at the start of my career in the conservation of terrestrial flora and fauna. I have good experience in plant management and production. My passion for biodiversity conservation has led me to acquire
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- @julianagc
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With a background in biology, consulting, and education, I enjoy combining my many passions in applying ML and AI to biodiversity conservation.

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Terrestrial Ecologist
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I am the executive director of FishEye Collaborative, a non-profit developing underwater bioacoustic technologies and methods to grow our understanding of marine ecosystems.
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- @marinejoly
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Associate Professor in Cognitive Ethology (University of Portsmouth, UK), I am interested in primate behaviour and cognition. I am seeking new avenues to investigate animal cognition and address conservation issues.
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Description | Activity | Replies | Groups | Updated |
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Hi Maureen, thanks a lot for this. Seemed more or less perfect so I applied :)Also didn't realise there was a slack community so I'll be scanning that too... |
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AI for Conservation | 2 months 3 weeks ago | |
Hey everyone,On Monday, we are starting the test phase of our first MVP version!We are looking for a limited number of testers and still... |
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AI for Conservation | 2 months 3 weeks ago | |
Hi Dan, Not right now but I can envision many uses. A key problem in RS is data streams for validation and training of ML models, its really not yet a solved problem. Any... |
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Emerging Tech, AI for Conservation, Animal Movement, Build Your Own Data Logger Community, Camera Traps, Connectivity, Conservation Tech Training and Education, Data management and processing tools, Geospatial, Sensors | 3 months ago | |
Thanks @eugenegalaxy . Much appreciated and I will go through this thoroughly! |
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AI for Conservation | 2 months 3 weeks ago | |
Hey Bob, thanks for the kind words! Your articles on Winterberry Wildlife have really been a big inspiration for me! There are extremely limited numbers of articles on trial... |
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AI for Conservation, Camera Traps | 3 months ago | |
This is probably the most realistic one I've seen made by this tool (stable-difussion v1.5) |
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AI for Conservation | 3 months ago | |
We just wanted to share this news outside the core robotics community - hoping to connect more with conservationists, researchers,... |
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AI for Conservation, Drones | 3 months 1 week ago | |
Hi Lucie @luciegallegos ,Great to see ecoSecrets and happy to collaborate in any way I can! All EcoAssist's models are open-source, and the inference code too. With regards to... |
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Software Development, AI for Conservation, Camera Traps | 3 months 1 week ago | |
Another question. Right now pretty much all camera traps trigger on either PIR sensors or small AI models. Small AI models would tend to have a limitation that they would... |
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AI for Conservation, Camera Traps, Data management and processing tools, Open Source Solutions, Software Development | 3 months 1 week ago | |
Hi Lucille,Thank you for your reply! We’d be really interested in learning more about your developments. We’ll contact you soon to arrange a discussion.Thank you.Best regards,... |
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Acoustics, AI for Conservation, Sensors | 3 months 1 week ago | |
Hi Lorenzo,I highly recommend the OpenSoundscapes package (developed by the Kitzes Lab at U Pittsburgh) - there are workflows to build your own CNNs there, the documentation is... |
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Acoustics, AI for Conservation, Animal Movement, Open Source Solutions | 3 months 2 weeks ago | |
This is probably seen a bit as "self-branding" which I hope is alright, otherwise please let me know! I have spent the past few months... |
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AI for Conservation | 3 months 2 weeks ago |
Semi-automated prediction of behavioral states in wild understudied King vultures (Sarcoramphus papa)
20 December 2023 1:34pm
Hydromoth for coastal & offshore surveying
16 November 2023 7:36am
19 December 2023 2:20pm
Hydromoths are great for the price but they do not have the most streamlined housing and audio quality won't be as good as something like a SoundTrap or really any recorder with a proper hydrophone and 16-bit +DAQ system.
If you can afford it, this is an excellent SoundTrap based towed autonomous system NOAA have been using. It might work towed behind an autonomous vehicle
Alternatively, if you can have something inside the vehicle, a simple tape recorder (e.g. Tascam DR40X) and hydrophone on cable will provide excellent sound quality. You could also use something like a Raspberry Pi with audio focussed ADC hat to record but that would require a bit more programming. Even consider a standard AudioMoth and plug a proper hydrophone into the audio jack - this would still have a 12-bit ADC but would provide better sound quality than a hydromoth (hydrophones are more omnidirectional and there's no air filled causing reflections and attenuation)
20 December 2023 6:57am
If you are considering an external microphone and a towed system, then you would also be in a position to consider a raspberry pi with an external microphone with sbts-aru. Another option:
GitHub - hcfman/sbts-aru: Low cost Raspberry Pi sound localizing portable Autonomous Recording Unit (ARU)
Low cost Raspberry Pi sound localizing portable Autonomous Recording Unit (ARU) - hcfman/sbts-aru
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11 December 2023 8:42pm
Is anyone or platform supporting ML for camera trap video processing (id-ing jaguar)?
27 November 2023 10:49am
7 December 2023 12:42pm
Hey there community! Im new here and looking after lots of answers too! ;-)
We are searching aswell for the most ideal App / AI technology to ID different cats, but also other mammals if possible
- Panthera onca
- Leopardus wiedii
- Leopardus pardalis
and if possible:
- Puma concolor
- Puma yagouaroundi
- Leopardus colocolo
- Tapirus terrestris
Every recommendation is very welcome, thanks!
Sam
7 December 2023 2:31pm
Is this from camera trap images? Videos? Wildlife Insights is great! It uses Megadetector as a first pass to filter out empty images (those without animals), which you can also just use on its own. If you want to do individual re-ID, you can use Wildme. And as I mentioned previously in the comments, Zamba Cloud can work with videos. Conservation AI is another player in the game as well.
11 December 2023 1:38pm
Also, take a look at TrapTagger. It has integration with WildMe.
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DeepFaune: a software for AI-based identification of mammals in camera-trap pictures and videos
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24 October 2023 8:46pm
Hello to all, new to this group. This is very exciting technology. can it work for ID of individual animals? we are interested in Ai for identifying individual jaguars (spots) and andean Bears (face characteristics). Any recommendation? contact? thanks!
German
25 October 2023 8:57am
That's a very interesting question and use case (I'm not from deepfaune). I'm playing with this at the moment and intend to integrate it into my other security software that can capture and send video alerts. I should have this working within a few weeks I think.
The structure of that software is that it is two stage, the first stage identifies that there is an animal and it's bounding box and then there's a classification stage. I intend to merge the two stages so that it behaves like a yolo model so that the output is bounding boxes as well as what type of animal it is.
However, my security software can cascade models. So if you were able to train a single stage classifier that identifies your particular bears, then you could cascade all of these models in my software to generate an alert with a video saying which bear it was.
4 November 2023 4:51am
Hi @GermanFore ,
I work with the BearID Project on individual identification of brown bears from faces. More recently we worked on face detection across all bear species and ran some tests with identifying Andean bears. You can find details in the paper I linked below. We plan to do more work with Andean bears in 2024.
I would love to connect with you. I'll send you a message with my email address.
Regards,
Ed
Multispecies facial detection for individual identification of wildlife: a case study across ursids | Mammalian Biology
To address biodiversity decline in the era of big data, replicable methods of data processing are needed. Automated methods of individual identification (I
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Hi Sol,
I think your concern is well placed. The pros typically tow an array of hydrophones, in its simpler configuration it looks like a long fat rubber hose containing maybe a dozen transducers feeding their electrical signals to a recording unit back on the ship. All this is done to reduce noise from the ship, from waves crashing, and flow noise. The multiple transducers can also be electronically tuned to be directional so that it can be "pointed" away from a noise source (like the ship).
In your position, I would just try the simplest thing that could work, then fix the problems as they arise. It could be you may need to be dead in the water while recording. To address surface noise (slapping waves, wind), you could mount the hydromoth low down on a spar buoy, which you tow into position.
Best of luck, it sounds like an interesting project (c: