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!
No showcases have been added to this group yet.
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University of Florida (UF)
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Wildlife conservationist, ichthyologist, now pursuing a career in Software Engineering and Web Development

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Wildlife biologist, works with Caimans and Crocodiles
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PhD student at the University of Wuerzburg, working on the influence of climate change on animal migration, especially the Northern Bald Ibis.
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2023 Bachelor Degree Graduate from the College of African Wildlife Management, Mweka.

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Wild Spy
Whilst I love everything about WILDLABS and the conservation tech community I am mostly here for the badges!!





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Catherine Njore is a seasoned Cartographer with over 18yrs experience and specializing in children cartography. She recently designed a Cartography: Fun with Maps Program(CFMP); a program that assists children to learn how to draw, read and use maps effectively.

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Driving off-highway vehicles (OHVs), which contributes to habitat degradation and fragmentation, is a common recreational activity in the United States and other parts of the world, particularly in desert environments...
8 April 2025
Conservation International is proud to announce the launch of the Nature Tech for Biodiversity Sector Map, developed in partnership with the Nature Tech Collective!
1 April 2025
$3 millions of funding for NGO in Brazil using AI for conservation / $ 3 milhões em financiamento para ONGs no Brasil que usam IA para conservação!
1 April 2025
Funding
I have been a bit distracted the past months by my move from Costa Rica to Spain ( all went well, thank you, I just miss the rain forest and the Ticos ) and have to catch up on funding calls. Because I still have little...
28 March 2025
Funding
The AI Weather Quest, organised by the European Centre for Medium-Range Weather Forecasts (ECMWF), is an ambitious international competition designed to harness artificial intelligence (AI) and machine learning (ML) in...
25 March 2025
InsectSet459 - the first large-scale open dataset of insect sounds, featuring 26,399 audio clips from 459 species of Orthoptera and Cicadidae.
24 March 2025
Naturalis is looking for a postdoc in AI for Ultrasonic Bioacoustic Monitoring
24 March 2025
Funding
The Compute for Climate Fellowship is a global R&D funding program that empowers climate tech startups to leverage advanced cloud computing and AI in the fight against climate change.
22 March 2025
Absolutely fascinating uses of AI for equitable conservation! Hope it inspires you!
21 March 2025
Naturalis is looking for a postdoc in AI for Ultrasonic Bioacoustic Monitoring!
21 March 2025
This thesis concludes that artificial intelligence offers valuable opportunities for mitigating the impacts of climate change on wildlife with careful consideration of its limitations and ethical implications.
10 March 2025
WWF's Arctic Community Wildlife Grants program supports conservation, stewardship, and research initiatives that focus on coastal Arctic ecology, community sustainability, and priority Arctic wildlife, including polar...
7 March 2025
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Recently updated products
Description | Activity | Replies | Groups | Updated |
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@DibblexLesalon looks like a great question for your team at Expert Drones Africa :) |
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AI for Conservation | 1 year ago | |
However, I think it's important to reflect further to determine exactly what needs to be done. |
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Climate Change, AI for Conservation, Animal Movement, Citizen Science | 1 year ago | |
Congrats on the publication! Great work! |
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AI for Conservation | 1 year ago | |
The German start-up Dryad is also working on early fire detection using sensors and AI. |
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AI for Conservation | 1 year ago | |
I found this interesting |
+48
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AI for Conservation, Emerging Tech | 1 year ago | |
Really interesting, I will take a look |
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AI for Conservation, Camera Traps, Data management and processing tools, Emerging Tech | 1 year ago | |
Great new!! |
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AI for Conservation | 1 year ago | |
Hi Carly, thank you for the advice! I am only focusing on the two birds for now - my goal is to use part of the iNaturalist data I have pulled to train the model and the rest to... |
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AI for Conservation | 1 year ago | |
Thank you so much! Now everything is in the hands of amazing organizations and companies! But the first results of the Disaster Management cohort are bringing a very optimistic... |
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AI for Conservation, Climate Change, Early Career, East Africa Community, eDNA & Genomics, Emerging Tech, Ending Wildlife Trafficking Online, Human-Wildlife Coexistence, Open Source Solutions | 1 year ago | |
great! |
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AI for Conservation | 1 year ago | |
interesting!!! |
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AI for Conservation, Animal Movement, Data management and processing tools | 1 year ago | |
so great!!! |
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Software Development, AI for Conservation, Animal Movement | 1 year ago |
AI tools help to detect wildfires in California
29 August 2023 7:02pm
Mobile App. Developer / Gibbon Research
24 August 2023 9:59am
Catch up with The Variety Hour: August 2023
14 August 2023 11:50am
Acoustic Monitoring and AI to Recognize Elephant Sounds & Gunshots
9 August 2023 11:11pm
#Tech4Wildlife Photo Challenge: Judges' Panel Honorees
4 August 2023 10:00am
Mapping seagrass with drones and AI
4 August 2023 2:00am
#Tech4Wildlife Photo Challenge: Community Choice Honorees
3 August 2023 10:00am
Sustained Effort: Scaling Positivity
2 August 2023 10:00am
Workshop on the use of information and communications technology for conservation in Central Asia
1 August 2023 11:50pm
European Forum Alpbach
1 August 2023 5:23pm
Using an AI-based Warning System to Protect Whales in South Africa
28 July 2023 11:01am
5 ways how AI can double the impact of your nature venture
20 July 2023 10:18am
Senior Technical Specialist, Monitoring & Technology, ZSL
18 July 2023 1:44pm
Wildlife Conservation Drones & Technologies Summit 2023
16 July 2023 10:04pm
Artificial Intelligence in African Anti-Poaching Strategy | by Tusk | Jul, 2023 | Medium
12 July 2023 4:59pm
Tools for automating image analysis for biodiversity monitoring
12 July 2023 4:50pm
Kew Research Fellow - Digital Revolution
12 July 2023 4:38pm
NBM - A collaborative and open source project to monitor Nocturnal Bird Migration
7 July 2021 7:01am
12 July 2023 4:26pm
Hi everyone! We were so delighted to have Adrien along to our June Variety Hour to share more about the Nocturnal Bird Migration project. If you missed it, you can catch up with the project here:
Some useful links shared by Adrien and Louis in the chat:
- the link to NBM discord: https://discord.gg/Uac6B4pQ
- the link to NBM platform (in french, but still user-friendly) - the database is free!: https://nocturnal-bird-migration.com/fr
- and finally, the link to the project's gitlab (french again, sorry ;) ): https://gitlab.com/nbm.challenge/nbm-nocturnal-bird-migration/-/blob/dev/docs/use_ia_on_kaggle/FR_Installer_IA_NBM.md
If you have any questions as you're catching up, drop them below and Adrien will pick them up :)
Steph
Request: Public datasets and models for marine videos (with fish looking fishy-ish)
12 July 2023 3:58pm
Project Spotlight: Monitoring tropical freshwater fish in Kakadu National Park with drones, underwater cameras and AI
12 July 2023 3:40pm
12 July 2023 3:58pm
During Andrew's talk, @dmorris put out a call in the chat that might be relevant to folks catching up on the video, so I'll drop it here too:
Re: Andrew's fish work... part of the reason I got in touch with Andrew a few weeks ago is that I'm trying to keep track of public datasets and public models for marine video that have basically this gestalt (video where fish look fishy-ish). I think we're getting close to enough public data to train a general-purpose model that will work well across ecosystems. My running list of datasets is here:
https://lila.science/otherdatasets#images-marine-fish
Let me know if folks know of others!
There are also a grand total of two public models that I'm aware of that sort of fall into this category... one is Andrew's:
https://github.com/ajansenn/KakaduFishAI
The other is:
https://github.com/warplab/megafishdetector
If folks know of other publicly-available models, let me know about those too!
Monitoring large wildlife populations with ML and Satellites
11 July 2023 7:28pm
Automatically detect animals in camera trap images and filter out the empties
22 February 2022 6:51pm
27 March 2022 10:19pm
Sounds good, Peter! I'll keep an eye out for your reply. Thanks a lot & kudos to your great effort!
- Divya
17 November 2022 7:59pm
@antoineede @divyar EcoAssist is now also available on Windows and Linux:
GitHub - PetervanLunteren/AddaxAI: Simplify camera trap image analysis with AI species recognition models based around the MegaDetector model
Simplify camera trap image analysis with AI species recognition models based around the MegaDetector model - PetervanLunteren/AddaxAI
11 July 2023 10:52am
Thanks, @pvlun,@pvlun we are going to try it to develop a model for feral cat and rat detection in camera trap.
AI for Eagles Challenge
7 July 2023 10:03am
New Add-ons for Mbaza AI
4 July 2023 12:00pm
RFCx/Arbimon is Hiring a Data Scientist!
28 June 2023 9:37pm
Techonomy 23: The AI Dilemma
27 June 2023 12:19pm
New collaboration network - Computer vision for insects
26 June 2023 2:36pm
PhD Position in Deep Learning for Biodiversity Monitoring: Custom Imaging Platform and Deep Learning to Classify and Phenotype Earthworms
21 June 2023 8:23am
Information Session: Technology Testing to Mitigate Human-Elephant Conflict in West Bengal
19 June 2023 11:07pm
7 July 2021 7:16am
Updates will regularly be added in comments !