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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Article
From Data Collection to Decisions
TimWilkinson
The speed at which data travels from the point of collection to a format which is understandable and useful for decision makers can be of critical importance. In this case study, Tim Wilkinson discusses a powerful suite...
6 November 2015
Article
New technologies offer a lot of potential for conservation, but are there potential risks to deploying these new technologies? In this first thought piece for the Ethics of Conservation Tech Group, Dr Chris Sandbrook...
2 November 2015
August 2025
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Louisa Richmond-Coggan
September 2025
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Louisa Richmond-Coggan
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Louisa Richmond-Coggan
October 2025
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Lacey Hughey and 3 more
December 2025
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Alex Rood
March 2026
September 2024
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Marius Miron
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Vanesa Reyes
17 Products
Recently updated products
| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Hi Simon,We (Reneco International Wildlife Consultants) have an ongoing collaboration with a local University (Abu Dhabi, UAE) for developing AI tools (cameratrap/drone... |
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Acoustics, AI for Conservation, Animal Movement, Camera Traps, Citizen Science, Connectivity, Drones, Early Career, eDNA & Genomics, Marine Conservation, Protected Area Management Tools, Sensors | 7 months ago | |
| @HeinrichS there’s still time for you or anyone else to make a funding submission to the wildlabs 2025 grants ❤️❤️❤️I haven't applied for wildlabs funding, but I would love for... |
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Human-Wildlife Coexistence, AI for Conservation, Camera Traps, Emerging Tech | 7 months ago | |
| thanks kristy! super helpful list. |
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Data management and processing tools, AI for Conservation | 7 months 1 week ago | |
| And I see now they can walk vertically up walls like Spider-Man. |
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Camera Traps, AI for Conservation | 7 months 1 week ago | |
| Thank you for the comments. My team will be glad to have this added to the inventory. |
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AI for Conservation | 7 months 1 week ago | |
| I added plain old motion detection because megadetector v5 was not working well with the smaller rat images and in thermal.This works really well: Also, I can see... |
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AI for Conservation, Camera Traps | 7 months 2 weeks ago | |
| Hello WalterThanks for your input. I have achieved better results with the puc when hooking it up to a powerbank. Have got them set up to "recording only", and GPS to low power... |
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Acoustics, AI for Conservation, Citizen Science, Sensors | 7 months 4 weeks ago | |
| great, this security cameras might be interesting for monitoring crop development and maybe other bigger pests like boars or some other herbivorous animals that could eventually... |
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AI for Conservation, Camera Traps | 8 months ago | |
| In a recent call with researchers in Thailand. They have mentioned that they use passive chip readers to log data about chipped animals as they pass by. |
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AI for Conservation, Animal Movement | 8 months ago | |
| Seems like we should include some rotations in our image augmentations as the real world can be seen a bit tilted - as this cropped corner view from our fisheye at the zoo shows. |
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AI for Conservation, Camera Traps, Data management and processing tools | 8 months 1 week ago | |
| Bird Monitoring Data Exchange is a standard often used for birds data. |
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AI for Conservation, Data management and processing tools, Emerging Tech | 8 months 2 weeks ago | |
| Hey everyone!As you might have heard, BlueSky is on hype now, with millions of users migrating to it from X. Including the scientific world... |
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AI for Conservation | 8 months 2 weeks ago |
AI tools help to detect wildfires in California
29 August 2023 7:02pm
How California firefighters are using AI to look for wildfires - Los Angeles Times
Cal Fire is the first fire agency to use artificial intelligence to look for signs of wildfires and directly alert dispatch centers.
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
Listening to the Giants: Protecting Forest Elephants Through Audio Monitoring
Listening to the Giants: Protecting Forest Elephants Through Audio Monitoring
#Tech4Wildlife Photo Challenge: Judges' Panel Honorees
4 August 2023 10:00am
Mapping seagrass with drones and AI
4 August 2023 2:00am
Mapping seagrass with machine learning and drones - GeoNadir
Drone mapping combined with machine learning is providing a new level of detail for mapping seagrass extent on the Great Barrier Reef.
#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
Using an AI-based warning system to protect whales in South Africa
In South Africa, we're teaming up with WWF to safeguard whales and our oceans using innovative IoT and AI technologies.
5 ways how AI can double the impact of your nature venture
20 July 2023 10:18am
5 ways how AI can double the impact of your nature venture. | Loom
In this video, I will discuss how AI can help overcome the three main obstacles faced by nature businesses and wildlife NGOs: money, time, and expertise. I will present five ways in which AI can boost your nature venture, including providing expert knowledge and filling key roles in your organization. I will also share a real-life example of a Chief Marketing Officer who joined an installation and NGO, demonstrating the potential of AI in enhancing your impact. Watch this video to learn how AI can revolutionize your nature venture and maximize its effectiveness.
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
Artificial Intelligence in African Anti-Poaching Strategy | by Tusk | Medium
Artificial intelligence (AI) has been identified as one of the ‘top three rising technologies being used in conservation’ today, eliminating the manual task of gathering wildlife data and helping…
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
Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape | Nature Communications
New satellite remote sensing and machine learning techniques offer untapped possibilities to monitor global biodiversity with unprecedented speed and precision. These efficiencies promise to reveal novel ecological insights at spatial scales which are germane to the management of populations and entire ecosystems. Here, we present a robust transferable deep learning pipeline to automatically locate and count large herds of migratory ungulates (wildebeest and zebra) in the Serengeti-Mara ecosystem using fine-resolution (38-50 cm) satellite imagery. The results achieve accurate detection of nearly 500,000 individuals across thousands of square kilometers and multiple habitat types, with an overall F1-score of 84.75% (Precision: 87.85%, Recall: 81.86%). This research demonstrates the capability of satellite remote sensing and machine learning techniques to automatically and accurately count very large populations of terrestrial mammals across a highly heterogeneous landscape. We also discuss the potential for satellite-derived species detections to advance basic understanding of animal behavior and ecology. This study presents a deep learning pipeline to automatically locate and count large herds of migratory ungulates (wildebeest and zebra) in the Serengeti-Mara ecosystem using fine resolution satellite imagery. The results achieve accurate detection of nearly 500,000 individuals across thousands of square kilometers and multiple habitat types.
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 !