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!
- @mclapham
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BearID Project
Conservation biologist using camera traps to develop automated methods of photoID
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- @NicoLaur
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PhD Student in Disease Ecology, Taxonomy and biomonitoring in Central Africa
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- @ttopa
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Recent Environmental Science and Data Science graduate looking to learn more about the conservation tech world. www.TeodoroTopa.com
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I am the executive director of FishEye Collaborative, a non-profit leveraging emergent underwater listening technologies to grow our understanding of marine ecosystems. I am also the president of FishEye Acoustics, a marine tech company developing a new class of acoustic sensors.
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Founder & Director of Tech 4 Conservation
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- @AnnabelL
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- @tutgut5
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Michigan Natural Features Inventory (MNFI)
Wildlife ecologist
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Technologist & Wildlife Photographer at Google
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You’re invited to the WILDLABS Variety Hour, a monthly event that connects you to conservation tech's most exciting projects, research, and ideas. We can't wait to bring you a whole new season of speakers and...
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Description | Activity | Replies | Groups | Updated |
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In my experience, ChatGPT-4 performs significantly better than version 3.5, especially in terms of contextual understanding. However, like any AI model, inaccuracies cannot be... |
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AI for Conservation, Emerging Tech | 4 hours 11 minutes ago | |
Online citizen science platforms like iNaturalist and Macaulay Library contain a wealth of images but are hard to search using text. We are... |
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AI for Conservation, Citizen Science | 23 hours 29 minutes ago | |
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 | 3 days 6 hours 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 week 1 day ago | |
SYNTHETIC APERTURE RADAR WILL ALSO DETECT AND LOCATE CHAINSAWS, MOTORBIKES, BICYLCLES, FIREARMS, MACHETES in fact anything metal. I have been concentrating on trying to get... |
+10
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AI for Conservation, Drones, Emerging Tech, Human-Wildlife Conflict, Wildlife Crime | 1 week 1 day ago | |
I'm not an expert in this field, but have been doing some self study for a local project... Resolving animals in an image is not purely height related - but rather a combination... |
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AI for Conservation | 1 week 2 days 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 week 2 days 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 week 2 days ago | |
Hey Sol, No problem at all. Depending on your configuration, the Audiomoth software would have to work on a PCB with an ESP32 chip which is the unit on the audiomoth/... |
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Acoustics, AI for Conservation, Data management and processing tools, Emerging Tech, Sustainable Fishing Challenges | 1 week 4 days 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 and Mobile Apps | 1 week 4 days 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 | 1 week 6 days 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 | 2 weeks 1 day ago |
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
Here's an interesting new paper in Nature about how new techniques in machine learning and satellite remote sensing are allowing researchers to monitor and count large populations of migratory terrestrial mammals like elephants and zebras.
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!
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17 November 2022 7:59pm
@antoineede @divyar EcoAssist is now also available on Windows and Linux:
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.
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CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling
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FathomNet Workshop @CVPR 2023
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As we celebrate World Oceans Day this month, we are reminded that addressing climate change will take more than any one organization. It will require companies, governments, NGOs and communities, all working together, with the aid of technology, to improve the efficiencies of our activities and operations and to reduce costs, waste and emissions. Such an example is IBM and The Reef Company recently joining forces signing a joint initiative agreement aimed at bolstering their ocean conservation endeavors.
Imageomics Institute Image Datapalooza, August 2023
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ISO Speakers for Emerging Technologies class.
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31 May 2023 10:21pm
Definitely interested! I'm in the ecoacoustics/acoustic monitoring space, working at Rainforest Connection and Arbimon.
2 June 2023 2:08pm
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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24 May 2023 5:41am
24 May 2023 3:45pm
Hi Donya! You might check out the Conservation Tech Directory to see what projects/organizations/tools best align with your interests and skills.
Director of Research
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Updates will regularly be added in comments !