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.
Universidade Federal de Santa Catarina (UFSC)
Assistant professor at the Federal University of Santa Catarina (Brazil). Main research interests: autonomous AI-based systems.
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- @Palinda
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Corporate Responsibility Specialist & Sustainability/ Climate Change Professional Helping Conservation, Restoration, Community Livelihood Development ESG strategy and Sustainable Development.
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Universidade Federal do Rio Grande do Norte (UFRN)
I'm a Biologist and currently a master's student. My research focuses on understanding how birds respond to a restoration experiment in a Seasonally Dry Tropical Forest exclusive to Brazil through bioacoustics.
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- @APooran
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- @kristian.cuervo
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Applied Mathematics student in Denmark, interested in applications of mathematics to ecology and nature conservation. Currently interested in developing sensors for perimeter detection in wildlife conservations in Africa.
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- @MorganeLabadie
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I'm an ecology researcher with extensive experience of fieldwork and project management in international contexts. I specialise in wildlife, zoonotic diseases, data collection and analysis using mainly non-invasive techniques (acoustic, camera traps, etc.) and invasive techniques
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- @Jen_NZ
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- @cappel
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Wildlife Science PhD candidate working on computer vision with camera traps and bioacoustics
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- @valengsb
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GIS specialist for Audubon Americas | Biologist with an emphasis on Conservation and Sustainable Development | Innovative approaches in the study and monitoring of biodiversity for possible, biodiverse, and just futures.
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Ecologist at Noe NGO, Project manager in restauration, rewilding, and citizen sciences program for grassland ecosystems and wild pollinators
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- @capreolus
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Capreolus e.U.
wildlife biologist with capreolus.at
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- @JakobWiren
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Swedish soon-to-be graduate engineer in AI/ML and robotics. Writing my master thesis in using decision trees for anti-poaching in Limpopo, South Africa. Am passionate about conservation, AI and travelling. Help me find a way to help you!
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Funding
Salesforce Accelerator: AI for Climate
Stephanie O'Donnell
Do you work for a climate organization looking to multiply impact with AI? Apply for the Salesforce Accelerator - AI for Climate! This new philanthropic initiative is dedicated to supporting innovative solutions for...
16 January 2024
Careers
Two year postdoc - Machine Learning & Bioacoustics
Emmanuel Dufourq
Two years in Cape Town, South Africa. Yearly visits to Rwanda. If you love to code, and all things Python/deep learning/tech stuff/ then you'll have an awesome time!
16 January 2024
Article
Application of a deep learning image classifier for identification of Amazonian fishes
Alexander J Robillard
Given the sharp increase in agricultural and infrastructure development and the paucity of widespread data available to support conservation management decisions, a more rapid and accurate tool for identifying fish...
11 January 2024
Article
HWC Tech Challenge update 2020
Lars Holst Hansen
An update on @Alasdair and @adanger24's HWC project
11 January 2024
Article
Here are a few key insights from this year's event that we're carrying into 2024.
2 January 2024
Link
For the current e-obs newsletter, Chris Beirne and I have summarized our previous work on the annotation of King vultures in Costa Rica.
20 December 2023
Article
News from a grant to explore potential projects for monitoring biodiversity in latin american countries
16 December 2023
Link
Milestones Systems and Polar Bear International present their test of bear-dar in Churchill in the this Youtube video: https://www.youtube.com/watch?v=WiXAHYCA99M
15 December 2023
Link
Bear-dar: Updates from the Field
Lars Holst Hansen
Polar Bear International chat about bear-dar and burr on fur in this video on Youtube https://www.youtube.com/watch?v=AfL42Wqctkk
15 December 2023
Article
SEE Shell is an innovative phone app that uses machine learning to identify products made from the shell of the critically endangered hawksbill sea turtle.
14 December 2023
Link
Benchmarking behavior classification of bio-logger data
Stephanie O'Donnell
Benjamin Hoffman is a Senior AI Research Scientist with Earth Species Project, and joined last Variety Hour to talk us through his work to explore using self supervision to detect behavioral patterns in raw sensor data...
13 December 2023
Careers
Project support officer - Conservation Tech
Tom August
Outstanding chance for a motivated and ambitious individual to enhance their current project support skills by engaging with a diverse array of exciting projects in the field of biodiversity science.
11 December 2023
August 2025
event
Louisa Richmond-Coggan
September 2025
event
Louisa Richmond-Coggan
event
Louisa Richmond-Coggan
October 2025
event
Lacey Hughey and 3 more
December 2025
event
Alex Rood
March 2026
November 2023
event
Stephanie O'Donnell
event
Stephanie O'Donnell
17 Products
Recently updated products
| Description | Activity | Replies | Groups | Updated |
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| We're seeking training data for AI for wolf ID - we at T4C manage 3 Wildbook platforms: Wild North, Whiskerbook and the... |
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AI for Conservation | 1 year 3 months ago | |
| Hi Phani,An entry point might be to participate in a challenge related to conservation on:KaggleDrivenDataFruitPunchMax Planck Institute of Animal BehaviorYou could also reach out... |
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AI for Conservation | 1 year 3 months ago | |
| [oops, the same reply got submitted twice and there doesn't seem to be a "delete" button] |
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AI for Conservation, Camera Traps | 1 year 3 months ago | |
| Hi @zhongqimiao ,Might you have faced such an issue while using mega detectorThe conflict is caused by:pytorchwildlife 1.0.2.13 depends on torch==1.10.1pytorchwildlife 1.0.2.12... |
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AI for Conservation, Camera Traps, Open Source Solutions | 1 year 3 months ago | |
| Hi, this is pretty interesting to me. I plan to fly a drone over wild areas and look for invasive species incursions. So feral hogs are especially bad, but in the Everglades there... |
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AI for Conservation, Camera Traps, Open Source Solutions, Software Development | 1 year 3 months ago | |
| Gotcha, well I look forward to seeing future iterations and following along with your progress!! |
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Autonomous Camera Traps for Insects, AI for Conservation, Emerging Tech, Open Source Solutions, Latin America Community | 1 year 3 months ago | |
| Hi everyone!@LashaO and @holmbergius from the Wild Me team at ConservationX Labs gave a superb talk at last month's Variety Hour,... |
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AI for Conservation, Camera Traps | 1 year 4 months ago | |
| We could always use more contributors in open source projects. In most open source companies Red Hat, Anaconda, Red Hat and Mozilla, people often ended up getting hired largely... |
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Acoustics, AI for Conservation, Conservation Tech Training and Education, Early Career, Marine Conservation | 1 year 4 months ago | |
| Hi @timbirdweather I've now got them up and running and winding how I can provide feedback on species ID to improve the accuracy over time. It would be really powerful to have a... |
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Acoustics, AI for Conservation, Citizen Science, Emerging Tech | 1 year 5 months ago | |
| Really interesting project. Interesting chip set you found. With up to around 2mb sram that’s quite a high memory for a ultra low power soc I think.It might also be... |
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Acoustics, AI for Conservation | 1 year 5 months ago | |
| Thank you so much for your encouraging words! I'm thrilled to hear that you enjoyed our conversation, and I truly appreciate your support in spreading the word about my survey... |
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Acoustics, AI for Conservation | 1 year 5 months ago | |
| Perfect thanks! I am still a novice using Python but my wife can help me! |
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AI for Conservation, Camera Traps, Human-Wildlife Coexistence | 1 year 5 months ago |
Enter the Zooniverse: Try Citizen Science for Yourself!
18 March 2020 12:00am
Tutorial: Train a TinyML Model That Can Recognize Sounds Using Only 23 kB of RAM
16 March 2020 12:00am
Accepting Applications: ArcGIS Solutions for Protected Area Management
4 March 2020 12:00am
Call for Nominations: Tusk Conservation Awards
3 March 2020 12:00am
Competition: Plastic Data Challenge
Ellie Warren
3 March 2020 12:00am
Hawai'i Conservation Conference
Hawaiʻi Conservation Alliance
28 February 2020 12:00am
Competition: The Artisanal Mining Grand Challenge
26 February 2020 12:00am
Listening to Nature: The Emerging Field of Bioacoustics
24 February 2020 12:00am
Team for Building of ML app for horse identification and conservation
20 February 2020 11:09pm
HWC Tech Challenge Update: Thermal Elephant Alert System
17 February 2020 12:00am
ICEI2020: 11th International Conference on Ecological Informatics
ICEI 2020
14 February 2020 12:00am
Seafood fund seeks ideas for innovation projects up to £250k
11 February 2020 12:00am
WILDLABS Virtual Meetup Recording: Acoustic Monitoring
WILDLABS Team
5 February 2020 12:00am
AI for camera trap public data
17 December 2019 9:20pm
A New Cloud Platform Unveils the Most Diverse Camera Trap Database in the World
17 December 2019 12:00am
[ARCHIVED] Workshop on Deep Learning Methods and Appliocations for Animal Re-Identification
25 November 2019 6:24pm
WACV2020 AI for Animal Re-ID: Deep Learning Methods and Applications for Animal Re-Identification
25 November 2019 12:00am
WILDLABS Virtual Meetup Recording: Drones
WILDLABS Team
9 November 2019 12:00am
Camera Trapping: Incredibly Useful Resources List
5 November 2019 12:00am
Who wants to learn Python? Courses to get you started coding
2 May 2016 3:13pm
1 March 2019 9:20am
Hello everyone what are you wating for..
All US, UK, India users can enroll courses from Intellipaat (the largest IT trainng company)
check some of thier superb training list:
29 October 2019 4:52pm
Chuck's Python for Everyone course is available these days at www.py4e.com, and he's also created a course called Web Apps for Everyone www.wa4e.com. Both excellent resources, and he's a strong proponent for (and creator of) open source educational tools in general.
Lucy
Plant-Powered Camera Trap Breakthrough
15 October 2019 12:00am
Using Artificial Intelligence to Track Birds’ Dark-of-Night Migrations
9 October 2019 12:00am
Camera Trap Technology Symposium (Recordings): Bringing Developers and Users Together
2 September 2019 12:00am
ICCB 2019: 5 Key Discussions about the Future of Conservation Tech
21 August 2019 12:00am
Conservation biologists find new applications for AI tools
5 August 2019 2:57pm
Automated Identification of Indonesian Rhinos
27 July 2019 12:00am
[ARCHIVED] Position: UI/UX Machine Learning Engineer
8 July 2019 11:27pm
[ARCHIVED] Position: Senior Computer Vision Research Engineer
8 July 2019 10:42pm
Hello buzzing World!
7 July 2019 6:55pm
ML at the Edge
28 June 2019 8:16am
31 August 2017 9:06am
A couple of years ago I completed the Coursera course Programming for Everybody (Getting Started with Python) with Charles Severance. I found it really well paced and well taught. He's a very personable tutor, and has also written a free book Python for Everybody, available as a PDF.
I found the Coursera course on R Programming with Roger Peng to be more difficult to follow, but I'm not sure whether that was down to the teaching style or the language itself. For R, I'd definitely recommend the best place to get started is swirl - Learn R, in R!
Happy coding