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!
December 2023
February 2024
December 2023
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Description | Activity | Replies | Groups | Updated |
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Very helpful, thank you. One more thing, are there any broad skills that apply to all areas of conservation tech that may be helpful to learn/improve, e.g data analysis? |
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AI for Conservation, Conservation Tech Training and Education, Early Career | 3 months ago | |
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... |
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AI for Conservation | 4 months 3 weeks ago | |
During Andrew's talk in our June Variety hour (see here), @dmorris put out a call in the chat that might be relevant to our marine and ai... |
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AI for Conservation, Marine Conservation | 4 months 3 weeks ago | |
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... |
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AI for Conservation, Camera Traps, Drones, Marine Conservation | 4 months 3 weeks ago | |
Thanks, @pvlun,@pvlun we are going to try it to develop a model for feral cat and rat detection in camera trap. |
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AI for Conservation | 4 months 3 weeks ago | |
A new COST action has been announced which will focus on the use of computer vision for monitoring insects.InsectAI will run for 4 years... |
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AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps | 5 months 1 week ago | |
Carly, that would be great! Thanks! I work with soundscapes and love the work of Rainforest Connection! I'll send you an email (@CUNY) to coordinate! |
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Acoustics, AI for Conservation, Conservation Tech Training and Education, Drones, eDNA & Genomics, Emerging Tech, Remote Sensing & GIS | 6 months ago | |
Hi Donya! You might check out the Conservation Tech Directory to see what projects/organizations/tools best align with your interests and skills. |
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Acoustics, AI for Conservation, Camera Traps, Drones | 6 months 1 week ago | |
Hey everyone, I am super excited to share two announcements with the Community!🏆🌍 Our flagship Data4Good project - Mbaza AI... |
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AI for Conservation, Camera Traps | 6 months 2 weeks ago | |
That sounds like a really neat project! Do fish get re-caught often enough that individual ID is useful? Is sample bias (more data from popular spots) an issue? |
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AI for Conservation, Citizen Science, Software and Mobile Apps | 7 months ago | |
Hi everybody 👋🏽,I'm a UX designer, and I design interfaces and improve user experiences/flows. I would love to contribute to conservation... |
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AI for Conservation, Conservation Tech Training and Education, Emerging Tech, Human-Wildlife Conflict | 7 months 1 week ago | |
Thanks Bas! I'll look into SSD vs RCNNs, I'd never heard of an SSD. |
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AI for Conservation, Camera Traps | 7 months 1 week ago |
Successfully integrated deepfaune into video alerting system
2 December 2023 11:15am
5 December 2023 6:46pm
So my vision about using my StalkedByTheState software to deter the wolves away from the sheep can be represented something along the lines of this:
I'm pretty sure this is how Rob Appleby described it to me. But I think all the sheep should be inside the fence.
5 December 2023 6:53pm
And here's how I would explain it to the government officials in a power point. I'm making the point that the wolves have been shooed away.
Two-year postdoc in AI and remote sensing for citizen-science pollinator monitoring
4 December 2023 12:21pm
Is anyone or platform supporting ML for camera trap video processing (id-ing jaguar)?
27 November 2023 10:49am
30 November 2023 8:45am
I can help you with that, please send us some of the videos and will build a pipeline for it
aakash at thinkevolvelabs dot com
- Aakash Gupta
Green AI Products — DeCaTron
DeCaTron is an AI-based platform for assessing and simulating the biodiversity of forested regions

1 December 2023 8:40pm
ffmpeg + TrapTragger (Camtraps + re-ID) and Whiskerbook(re-ID)?
TrapTagger About
Camera traps are a powerful tool for studying wildlife and are widely used by ecologists around the world. However, these motion-activated cameras can generate immense amounts of data, of which a large proportion is simply empty images generated by the wind and other disturbances. Traditionally, these thousands of images were manually sorted by the ecologists themselves in an error-prone and extremely time-consuming process – often taking longer than the camera-trap survey itself. This presented a massive obstacle to camera-trap-focused research. As such, we wanted to develop a way to make the process drastically shorter, and more accurate. In turn this would allow ecologists to run more camera trap surveys more often, resulting in more complete data, and more statistically robust results across greater and greater areas. Moreover, this would allow ecologists to spend their new-found time on the analysis of the data itself, and make the world a better place.

Whiskerbook
Whiskerbook is a visual database of jaguar encounters and of individually catalogued animals. The library is maintained and used by biologists to collect and analyse jaguar encounter data to learn more about these amazing creatures.
2 December 2023 9:01am
Hi All,
I understand Okala are doing a lot of work with ML and cameratraps, you could try and contact them.

WILDLABS Awards 2024: Supporting accessible, affordable, and effective innovation for nature
1 December 2023 11:00am
AI Earth: Using AI to tackle Climate Change
27 November 2023 10:16am
AWMS Conference 2023
Hydromoth for coastal & offshore surveying
16 November 2023 7:36am
18 November 2023 1:47am
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:
Instant Detect 2.0 and related cost
16 November 2023 12:50am
16 November 2023 10:55am
Hi Kaarthika, hi all,
ZSL's Instant Detect 2.0 is currently undergoing Beta testing with external partners and so is still pre-production. We therefore do not have final pricing for the system.
Saying this, we have got a manufacturing partner fully set-up who has already completed two full build rounds of the system, one in 2020 and another in 2023. This means we actually have a very good idea of the system's build costs and what these are likely to be when we can manufacture the system in volume.
While I cannot release this pricing yet, I am confident that we will have an unparalleled proposition.
In particular, the satellite airtime package we can supply to conservationists due to the generosity of the Iridium Satellite Company means that each system can send 3,600 (25-50KB) images a month from anywhere in the world for a single fixed fee. This equates to around a 97% discount to the normal commercial rates.
We are currently very busy fundraising so that we can make this final step to scale the system.
If we can secure this funding, we hope to go into volume production by mid-2024.
Best wishes,
Sam
16 November 2023 2:12pm
Thank You for your valuable update Sam
16 November 2023 2:30pm
Hello Sam,
What would you say would be the estimate cost was for the first version Instant Detect 1.0 ? That might help my research ?
Catch up with The Variety Hour: November 2023
16 November 2023 12:59pm
Software Engineer at Rainforest Connection & Arbimon
14 November 2023 12:30am
Seeking Advice for Biodiversity Methodology
10 November 2023 3:58pm
Insight; a secure online platform designed for sharing experiences of conservation tool use.
7 November 2023 1:01pm
A secure platform designed for those working to monitor & protect natural resources. Insight facilitates sharing experience, knowledge & tools to increase efficiency & effectiveness in conservation. By sharing we reduce time & money spent to find, test, & implement solutions.
DeepFaune: a software for AI-based identification of mammals in camera-trap pictures and videos
14 July 2023 3:14pm
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 (ID) via computer vision...

BirdWeather | PUC
27 October 2023 7:45pm
2 November 2023 9:20pm
I love the live-stream pin feature!
A SPOTLIGHT ON CUTTING-EDGE BIOMONITORING TECHNOLOGIES
31 October 2023 9:09am
15 November 2023 6:10pm
Nepal's tiger conservation gets tech boost with AI-powered deer tracking
30 October 2023 1:23pm
Researchers in Nepal are using vertical cameras and AI technology to track and profile individual spotted deer (Axis axis), similar to the methods used for tigers.
Acoustic Monitoring Specialist
26 October 2023 7:32pm
AI + Environment Summit
26 October 2023 11:15am
Entomological Research Specialist for Automated Insect Monitoring
25 October 2023 7:21pm
Lead Data Engineer - Climate Solutions, Open Earth
25 October 2023 11:07am
Automated moth monitoring & you!
24 October 2023 8:52am
Biodiversity modelling in the AI era
23 October 2023 12:03pm
New article: A Successful Crowdsourcing Approach for Bird Sound Classification
21 October 2023 2:04pm
Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests
20 October 2023 3:38pm
New paper in Nature Communications from Jörg Müller et al. using BAR-LT recorders and CNNs to track biodiversity recovery. Study shows that #soundscapes 🎙🎶 and deep learning are powerful tools for tracking biodiversity recovery in tropical forests
ZSL Research Fellow (x3 roles)

20 October 2023 3:34pm
PhD Opportunity: YELLOWHAMMER - Individual acoustic monitoring to study song culture evolutionwithin and between dialect areas
20 October 2023 12:54pm
PhD Opportunity: Distributed sound source localisation and separation for wireless microphone networks consisting of two-microphone nodes
20 October 2023 12:47pm
PhD Opportunity: 'FLOATERS' position at Bioacoustic AI Doctoral Network
20 October 2023 12:36pm
4 December 2023 10:10am
That would be fun. Thanks for your support