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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PhD student at Stanford University studying marine migratory species and human-wildlife interactions through biologging, remote sensing, and participatory science.
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Passionate wildlife researcher dedicated to uncovering the secrets of the natural world via the lens of camera traps. With a sharp eye for detail and a strong commitment to wildlife conservation.
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DrivenData
Lead Data Scientist and developer of zamba, a tool for automatic species classification from camera traps
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Technical Specialist at FFI: loves data management, maps, remote sensing & GIS for conservation
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University College London (UCL)
PhD Student at UCL's People and Nature Lab. Studying human-livestock-wildlife coexistence in the Greater Maasai Mara Ecosystem, Kenya.
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Gabriela A. Valencia-Macias, B.Sc. (Universidad Veracruzana), is achieving a master's degree in science at the Ecology Institute (INECOL A.C). She is Colombian-Mexican and has focused her studies on the conservation and biodiversity of amphibians.
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Article
Resource: WildID
Alchemy Software
WildID is excited to share their new camera trap processing and detection tools with WILDLABS! Using machine learning to identify Southern African wildlife species in large quantities of camera trap data, WildID's tool...
8 March 2021
Article
Intro to Embedded Machine Learning on Coursera
Edge impulse
Edge Impulse is proud to announce their brand-new online course, Introduction to Embedded Machine Learning. Hosted on Coursera, this professional training course will provide beginners with the tools to started with...
9 February 2021
Article
Protecting Wildlife with Machine Learning
Ellie Warren
Last year, Tim van Deursen and Thijs Suijten shared their new "Hack the Poacher" system with us, presenting a unique way to detect poachers in real-time within protected national parks. Read on to learn about their...
29 January 2021
Article
Our friends at Edge Impulse are proud to announce that they have become the first AI company to join 1% for the Planet, pledging to donate 1% of revenue to support nonprofit organizations focused on the environment. To...
15 January 2021
Article
British Antarctic Survey: Monitoring Whales From Space
British Antarctic Survey
Scientists have found that studying high-resolution images of whales from space is a feasible way to estimate their populations. A team led by British Antarctic Survey (BAS) compared satellite images to data collected...
21 December 2020
Article
FIS Call for Expressions of Interest (closed)
WILDLABS Team
WILDLABS community members are invited to submit an Expression of Interest to Fisheries Innovation Scotland (FIS) to participate in two research projects involving conservation tech's role in the future of sustainable...
8 December 2020
Funding
Kaggle Competition: Species Audio Detection
Rainforest Connection
Hey Acoustic Monitoring and AI for Conservation community members - don't miss Rainforest Connection's Species Auto Detection Kaggle competition, open for to competitors and teams now! Participants will have the chance...
24 November 2020
Community Announcement
WILDLABS: Building a Better World with ‘Bad’ Data
WILDLABS Admin
WILDLABS is celebrating its five year anniversary! Throughout the rest of 2020, we'll be sharing articles, community features, and case studies showcasing the incredible projects, collaborations, and successes that this...
17 November 2020
Article
Hackathon Opportunity: Vaquita Hacks
WILDLABS Team
Do you have innovative #tech4wildlife ideas that could save one of the most endangered species on earth from extinction? Apply now to join Vaquita Hack, a hackathon for students and early career conservationists! This...
10 November 2020
Article
In this article, Fulbright Scholar and National Geographic Explorer Kasim Rafiq discusses the potential to efficiently conduct wildlife surveys using cameras mounted to safari vehicles, as well as the workflow and AI...
10 November 2020
Article
Sustainable Fishing Challenges: Fishing Gear Innovations
Daniel Steadman
Today, Sustainable Fishing Challenges group leader Daniel Steadman discusses how fishing gear itself could benefit from fresh technological innovations to prevent both environmental damage and damage to species and...
19 August 2020
Funding
Challenge: ElephantEdge
Smart Parks
Protecting elephants from conservation's most pressing issues like poaching and human-wildlife conflict requires big, bold, and innovative solutions. Hackster.io, Smart Parks, Edge Impulse, Microsoft, and several other...
11 August 2020
August 2025
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17 Products
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| Environment conservation in Great Rift Valley. |
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AI for Conservation | 1 day 16 hours ago | |
| Hi Chris! Send me a direct message and we can have a chat! |
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AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps | 2 days 4 hours ago | |
| Hey people of the world. 10 days ago I posted here about our new GUI tool where one could drag-n-drop an image and get animals detected on... |
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AI for Conservation | 2 days 23 hours ago | |
| Hi @CourtneyShuert We support NOAA with AI for individual ID for belugas (but from aerial and from lateral surface too). If some of our techniques can be cross-applied... |
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AI for Conservation, Data management and processing tools | 1 week 1 day ago | |
| Hello Eugene, I just tried your service:Was wondering how possible will it be to have the option to upload a second image and have a comparison running to let the user know if... |
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AI for Conservation, Camera Traps, Data management and processing tools, Software Development | 1 week 1 day ago | |
| Kudos for such an innovative approach—integrating additional sensors with acoustic recorders is a brilliant step forward! I'm especially interested in how you tackle energy... |
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Acoustics, AI for Conservation, Latin America Community, Open Source Solutions | 1 week 1 day ago | |
| Thank you for your reply! It surely helps, we have use exif for a while to read metadata from images, when there is information available. Could be nice to maybe see if we... |
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AI for Conservation, Camera Traps | 1 week 5 days ago | |
| You could just throw out that data, but I think you'd be doing yourself a disservice and missing out on some interesting insights. Are you training the AI with just pre-COVID... |
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AI for Conservation, Animal Movement, Data management and processing tools, Human-Wildlife Coexistence | 2 weeks 1 day ago | |
| Would love to collaborate on this we are curently building agents for conservation Kind regardsOlivier |
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AI for Conservation, Community Base | 2 weeks 1 day ago | |
| This is such a compelling direction, especially the idea of linking unsupervised vocalisation clustering to generative models for controlled playback. I haven’t seen much done... |
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Acoustics, AI for Conservation, Emerging Tech | 2 weeks 4 days ago | |
| Hello.I am in need of assistance.I need a website for a project I am working on.Thanks 😊 |
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Software Development, AI for Conservation | 2 weeks 5 days ago | |
| Wow this is amazing! This is how we integrate Biology and Information Technology. |
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Camera Traps, AI for Conservation, Build Your Own Data Logger Community, Data management and processing tools, Marine Conservation, Protected Area Management Tools, Geospatial | 2 weeks 5 days ago |
Innovation wanted: Technology Testing to Mitigate Human-Elephant Conflict in West Bengal
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Catch up with The Variety Hour: June 2023
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AI Prompt Engineer in Dublin, DGB Group
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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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Apply for the Google for Startups Accelerator: Climate Change Middle East & Africa Program
9 June 2023 1:54pm
Celebrating World Oceans Day: Revitalizing the marine ecosystem with technology-driven engineered reefs to accelerate CO2 capture
9 June 2023 10:14am
Think | IBM
Experience an integrated media property for tech workers—latest news, explainers and market insights to help stay ahead of the curve.
Imageomics Institute Image Datapalooza, August 2023
2 June 2023 11:44pm
ISO Speakers for Emerging Technologies class.
31 May 2023 4:29pm
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!
10 AI for the Planet Projects you should be excited about
25 May 2023 11:07am
Looking for AI volunteer positions
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
Mbaza AI recognized by UNESCO & new team member
17 May 2023 8:49pm
Happywhale: AI-Powered Whale Identification
16 May 2023 10:00am
Lecturer/Associate Professor of Ecology and Innovative Technologies
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Deadline Approaching: Conservation Tech Award
15 May 2023 10:21pm
Photo Quadrats, AI, and MERMAID: A Case Study from Mozambique
12 May 2023 3:44pm
AI for Conservation Office Hours: 2023 Review
Dan Morris
and 1 more
11 May 2023 10:00am
Crowdsourcing individual ID for pop dyn?
1 May 2023 5:36pm
5 May 2023 6:15pm
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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5 May 2023 1:50pm
Using computer vision to understand bee vision
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How can you tell if a photo is AI generated? Here are some tips.
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[Recordings Now Available!) EarthRanger User Conference
27 April 2023 5:52am
Looking to contribute
27 April 2023 2:41am
Artificial Intelligence and Conservation: Closing Session
26 April 2023 8:54pm
Artificial Intelligence and Conservation with Lily Xu
26 April 2023 8:41pm
Feathered forecast: Tech tools comb weather data for bird migrations
26 April 2023 2:50pm
31 May 2023 10:21pm
Definitely interested! I'm in the ecoacoustics/acoustic monitoring space, working at Rainforest Connection and Arbimon.