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!
- @valengsb
- | she / her
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.
- 0 Resources
- 0 Discussions
- 18 Groups
Ecologist at Noe NGO, Project manager in restauration, rewilding, and citizen sciences program for grassland ecosystems and wild pollinators
- 0 Resources
- 1 Discussions
- 7 Groups
- @capreolus
- | he/him
Capreolus e.U.
wildlife biologist with capreolus.at
- 1 Resources
- 78 Discussions
- 16 Groups
- @JakobWiren
- | He,him
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!
- 0 Resources
- 1 Discussions
- 13 Groups
- @fshort
- | He / Him
Boston University PhD Candidate, Biological Anthropology. Engaging in passive acoustic monitoring (PAM) of Bornean orangutans (Pongo pygmaeus wurmbii), Bornean white-bearded gibbons (Hylobates albibarbis), and red leaf monkeys (Presbytis rubicunda)
- 0 Resources
- 2 Discussions
- 2 Groups
- @Gabonia
- | He/him
GABriel ONIfade A. (GABONIA / mrGab), is an educator, a CS and AI advocate, a Data Engineer, an AI Engineer, an Entrepreneur, and curriculum developer based in Brooklyn, New York (NYC DOE District 19). With a background in Systems Engineering, Gabriel specializes in CS & AI Edu.
- 1 Resources
- 1 Discussions
- 4 Groups
- @siddharth119
- | He/Him
Co-founder of Habitat Robotics, a conservation-tech non-profit
- 0 Resources
- 0 Discussions
- 3 Groups
- @Kwabs22
- | He
I'm a dynamic environmental conservationist driving change through research and innovation. I merge farming experience with agroforestry skills and drone technology, fueled by a passion for sustainable agriculture, championing a greener future for a sustainable food system.
- 0 Resources
- 0 Discussions
- 3 Groups
Conservation X Labs
Inventor/Engineer at Parula Innovations, Hardware Engineer for Sentinel at Conservation X Labs, (Recovering) Field Biologist
- 0 Resources
- 0 Discussions
- 6 Groups
Research software engineer working in computer vision for animal behaviour
- 1 Resources
- 1 Discussions
- 13 Groups
Xeno-canto
Co-founder and admin of Xeno-canto.
- 0 Resources
- 2 Discussions
- 2 Groups
- @annavallery
- | she/her
Seabird biologist experienced in research and applied conservation. Dedicated to conducting and using innovative research to inform conservation decisions.
- 0 Resources
- 2 Discussions
- 5 Groups
Article
A New Cloud Platform Unveils the Most Diverse Camera Trap Database in the World
Zoological Society London (ZSL)
Fueled by Artificial Intelligence, Wildlife Insights provides access to over 4.5 million camera trap records.
17 December 2019
Article
Camera Trapping: Incredibly Useful Resources List
Arie Hammond
Ahead of the upcoming Camera Trapping Sympoisum, organiser Arie Hammond has compiled a list of key resources for camera trapping, covering everything from reading lists for beginners to data sets, models and tools for...
5 November 2019
Article
Plant-Powered Camera Trap Breakthrough
Alasdair Davies
Microbial fuel cells, developed by Plant-powered Camera Trap Challenge winners Plant-E, have been used successfully with Xnor.ai's energy harvesting camera technology to capture what are thought to be the world's first...
15 October 2019
Article
In a first, UMass Amherst, Cornell use AI to mine big migration data on massive scale
9 October 2019
Article
Rutgers University, Microsoft AI for Earth, Google Earth Outreach and San Diego Zoo Global are proud to announce the world’s first camera trap technology symposium, to take place November 7th and 8th at Google...
2 September 2019
Article
ICCB 2019: 5 Key Discussions about the Future of Conservation Tech
Stephanie O'Donnell
Sharing failure, tech support for conservation, roaming mentors, conservation tech hype cycles and developing new road maps - participants in our tech workshops at ICCB 2019 shared an abundance of ideas for how to shape...
21 August 2019
Article
Automated Identification of Indonesian Rhinos
Cooper Oelrichs
In this case study, Cooper Oelrichs of Save Indonesian Endangered Species Fund (SIES) breaks down his proposal for the development and training of an automated rhino identification system from limited camera trap data.
27 July 2019
Article
The WILDLABS TECH HUB is supporting technology solutions tackling the illegal wildlife trade, in collaboration with the Foreign & Commonwealth Office, Digital Catapult, Satellite Applications Catapult, Amazon Web...
4 June 2019
Funding
AI for Earth Innovation Grant (extended)
Microsoft
To further their missions, LDF and Microsoft are collaborating on the AI for Earth innovation grant to support applicants in creating and deploying open source machine learning models, algorithms, and data sets that...
4 June 2019
Article
Traditionally, illegal wildlife trade thrived in physical markets. But today it has also moved online. In China, more than half of the trade in elephant ivory items happens on e-commerce platforms. Enrico Di Minin and...
31 May 2019
This webinar recording will provide a brief overview of current SMART functionality, highlight case studies of large scale and innovative SMART deployments, and detail how SMART is embracing and leveraging new...
21 May 2019
Article
Meet the WILDLABS TECH HUB Winners
WILDLABS Team
In February, we released an open call for the WILDLABS TECH HUB, offering 3 months of support for solutions using technolgy to tackle the illegal wildlife trade. We were overwhelmed by an incredible 37 submissions,...
13 May 2019
June 2025
event
Maximilian Sittinger
event
Nalini
July 2025
October 2025
event
Lacey Hughey and 3 more
November 2018
event
WILDLABS Team
73 Products
Recently updated products
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Recently updated products
| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| DeepForest docs are here. https://deepforest.readthedocs.io/ Welcome to have a look. My experience is that individual trees cannot be distinguished in satellite... |
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AI for Conservation | 5 years 2 months ago | |
| Steph, thank you so much for this, this is wonderful :) Really, really apreciate you sharing this with me :) Diving into all of the wonderful resources from you, thank you so very... |
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AI for Conservation | 5 years 2 months ago | |
| A call put out over on Twitter by Jesse Alston might be of interest here - both for conservationists and grad students. Looks like... |
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AI for Conservation | 5 years 2 months ago | |
| This can be done, happy to help :) But I think I need to understand the situation a little bit more. Do you already have the data for training / inference? Do you have any... |
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AI for Conservation | 5 years 2 months ago | |
| Hi there this post on Conservation X labs recently came up on designing softwarre for individual horse recognition: https://... |
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AI for Conservation | 5 years 3 months ago | |
| Wildlife Insights launched their online platform hosting over 4 million camera trap images. They use AI to automatically classify the... |
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AI for Conservation | 5 years 5 months ago | |
| Hey everyone! My colleagues and I are hosting a workshop on Animal Re-ID, and the submission deadline is a little less than a month... |
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AI for Conservation | 5 years 6 months ago | |
| 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... |
+7
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AI for Conservation | 5 years 7 months ago | |
| Hi all! This is a great article summarizing new applications for AI for conservation, and highlights @vsahai 's work with... |
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AI for Conservation | 5 years 9 months ago | |
| Wild Me (wildme.org) is looking to retain a UI/UX Machine Learning Engineer to help translate advanced ML into beautiful interfaces... |
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AI for Conservation | 5 years 10 months ago | |
| Wild Me (wildme.org) is looking to hire a second, Masters or PhD-level Senior Computer Vision Engineer to focus on individual ID of... |
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AI for Conservation | 5 years 10 months ago | |
| Hi, I would just like to introduce our Project BEESWAX7 and announce that today we acheived two milestones for success; we recorded bee... |
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AI for Conservation | 5 years 10 months ago |
New paper - Rookognise: Acoustic detection & identification of individual rooks in field recordings using multi-task neural networks
3 October 2022 2:35pm
Rookognise: Acoustic detection and identification of individual rooks in field recordings using multi-task neural networks | bioRxiv
bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution
New paper - FathomNet: A global image database for enabling artificial intelligence in the ocean
27 September 2022 9:44pm
FathomNet: A global image database for enabling artificial intelligence in the ocean | Scientific Reports
The ocean is experiencing unprecedented rapid change, and visually monitoring marine biota at the spatiotemporal scales needed for responsible stewardship is a formidable task. As baselines are sought by the research community, the volume and rate of this required data collection rapidly outpaces our abilities to process and analyze them. Recent advances in machine learning enables fast, sophisticated analysis of visual data, but have had limited success in the ocean due to lack of data standardization, insufficient formatting, and demand for large, labeled datasets. To address this need, we built FathomNet, an open-source image database that standardizes and aggregates expertly curated labeled data. FathomNet has been seeded with existing iconic and non-iconic imagery of marine animals, underwater equipment, debris, and other concepts, and allows for future contributions from distributed data sources. We demonstrate how FathomNet data can be used to train and deploy models on other institutional video to reduce annotation effort, and enable automated tracking of underwater concepts when integrated with robotic vehicles. As FathomNet continues to grow and incorporate more labeled data from the community, we can accelerate the processing of visual data to achieve a healthy and sustainable global ocean.
Conservation Tech Directory - new update!
29 August 2022 2:38pm
26 September 2022 10:07pm
Thanks so much!!
Mangrove soundscape
27 August 2022 4:57pm
29 August 2022 2:47pm
You might check out the devices listed in the Conservation Tech Directory - you can search for 'acoustic recorder' or 'ARU' or something like that.
The most common off-the-shelf models (other than Frontier Labs' BARLTs mentioned above😊) are Open Acoustic Devices Audiomoths & Hydromoths (which may be particularly useful for you since they come in completely watertight cases that can be stuck underwater for deployments), Wildlife Acoustics' SongMeter series, and Cornell Lab of Ornithology's Swift units.
30 August 2022 10:10pm
Camilo--
Are you interested only in airborne sounds or do you want to deploy hydrophones? That decision would inform a lot of other decisions about your purchase of equipment, as would having a clearer picture of your budget.
23 September 2022 5:39pm
Hi there Camilo,
What an interesting project! If you are looking for a lower cost, but effective tools for acoustic monitoring you might want to look into two options:
SoundTraps - are very commonly used and perform quite well:
SonarPoints - these are also a great instrument option:
page/sonarpoint | Desert Star Systems
The SonarPoint system is the third generation of Desert Stars passive underwater acoustics monitoring toolkits.
Senior Conservation Technology Expert Position (Consultancy) with the Global Wildlife Program
22 September 2022 5:35pm
Catch Up with the Variety Hour: October 2022
22 September 2022 1:59pm
WIA After Hours: Episode #5 - AI for Wildlife Conservation and Imageomics with Dr. Tanya Berger-Wolf
21 September 2022 6:53pm
WIA After Hours: Season : Episode #5 - AI for Wildlife Conservation and Imageomics with Dr. Tanya Berger-Wolf
WIA After Hours: Season : Episode #5 - AI for Wildlife Conservation and Imageomics with Dr. Tanya Berger-Wolf
Amazon Sustainability call for proposals — Fall 2022
20 September 2022 11:37am
Google.org commitment on using AI to accelerate progress on global development goals
16 September 2022 6:31pm
Research Software Engineer, Climate & Sustainability, IBM
16 September 2022 2:18pm
CamTrap Ecology meets AI conference
14 September 2022 4:47pm
Join the BirdNET team!
9 September 2022 2:43pm
Postdoc: Interpretable ML for species-based image classification
1 September 2022 9:34pm
New paper - 'soundClass: An automatic sound classification tool for biodiversity monitoring using machine learning'
1 September 2022 8:53pm
Introducing G.AI.A: Artificial Intelligence and Planetary-Scale Environmental Management
31 August 2022 10:25pm
Mara Predators Hackathon
30 August 2022 1:28pm
Research Associate in Conservation Ecology at QUT
29 August 2022 2:54pm
Conservation Technology Research Internship
26 August 2022 4:58pm
Postdoc in the application of AI for wildlife conservation & management
26 August 2022 11:47am
Online Hackathon: Predators conservation in the Maasai Mara
22 August 2022 10:32am
Ceres Wild Rhino application
22 August 2022 1:29am
29 September 2022 4:05am
Lead Software Engineer for ARISE
19 August 2022 8:22am
Lead Software Engineer, Wildlife Insights
10 August 2022 11:06pm
Research Technician - Unoccupied Aircraft Systems Pilot and Geospatial Analyst
10 August 2022 10:40pm
Building a simple AI-powered, human-in-the-loop system to manage wildlife camera trap images & annotations
10 August 2022 8:12pm
Building a simple AI-powered, human-in-the-loop system to manage wildlife camera trap images & annotations - Abhay Kashyap
Abhay Kashyap - 90 day fiancé evangelist. Applied AI/ML, PhD.
3yr Postdoctoral Associate: Remote Sensing and Unoccupied Aircraft Systems
10 August 2022 5:29pm
Catch Up with the WILDLABS Variety Hour: August 2022
10 August 2022 11:44am
Technology may solve climate change problems, but it’s also causing them | VentureBeat
8 August 2022 11:26am
Technology may solve climate change problems, but it’s also causing them | VentureBeat
It’s time for tech leaders to address the sector’s sustainability challenges by questioning supply and demand before it's too late.
Can deep learning identify seabirds? (species, within-species, individual)
25 May 2022 8:24pm
21 June 2022 4:55pm
Update: I asked the same question on twitter so I'm sharing answers I got there:
Let's chat! We've been training models to run on trail cameras as images/videos are captured, and have worked on migratory birds along coastlines (more info: https://t.co/NzW4GO2Wqp)
— Henrik Cox (@henrik_cox) June 1, 2022
21 June 2022 5:41pm
Hi Yvan,
I dropped this into the AI for Conservation slack group as well, you got this reply this morning:
Steph
8 August 2022 11:12am
Hi Yvan,
If you find something which reaches your expectation and especially the ability to identify individual with plumage patterns I will be intereted.
In the same idea that Ultralytics, there is :
Lobe · GitHub
Machine Learning Made Easy. Lobe has 11 repositories available. Follow their code on GitHub.
Which could probably answer your first and second requirements.
And find here a great website showing all the IA-based camera software, you may find solutions or contact throw this list:
23 September 2022 5:26pm
Congrats on the milestone Carly and Gracie!