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!
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Can deep learning identify seabirds? (species, within-species, individual)
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21 June 2022 4:55pm
Update: I asked the same question on twitter so I'm sharing answers I got there:
With quality photos and good labeled training data, I would say definitely doable! @ultralytics and their #YOLOv5 models would be a cool place to start!
— Abram B. Fleishman (@abfleishman) May 26, 2022
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
Have a look at this paper:https://t.co/pmvrmvJAuS
— Damien R. Farine (@DamienFarine) May 27, 2022
Individual identification needs tens of pictures per individual of known individuals as training data, which will be the challenge here.
Absolutely feasible, to learn how to train a CNN to identify species from satellite images I did a few tutorials on ID species from photographs. With the right training dataset it should be fairly straightforward. For individuals? Easier on species with clear markers (fins).
— Samanta's Wildlife (@SamantaWildlife) May 27, 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 :
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:
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Hi Jitendra.
If they are still images, many people are using Megadetector to analyze their images. I'm not sure how it will do in species classification, but it can tell you if there are images of interest in the shots. Others here can probably give you more detailed instructions on how to use it to batch process camera trap images.
2 August 2022 10:24am
Have you considered creating a Kaggle competition? If you already have lots of images, and some that have been labelled, then this could be a good way to get people working on a solution
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Nothing too much more to share about WildID - I think you've had an earful already! But just to say that we really do enjoy working with our users, so don't be shy to get in touch for any questions, or think you would be bothering us if you need support. We're excited to bring more projects on board and extend our training sets to new locations, camera types and species.
For those in regions outside Africa, we are considering releasing a version of WildID that uses MegaDetector from Microsoft AI - so it will classify your images into empties, and then human, vehicle and animal (just those three classes). You would then be able to define your own species list, and edit the animal pictures to the correct species. Still a fair amount of work for you to edit, but you are probably doing the work already, and at least you would have an easy interface in which to do it, and particularly empties excluded already for you. Get in touch with us if this would be of use to you.
23 June 2022 11:43am
Thank you so much Kate for the excellent answers, explanations, insights and pointers; This was nothing short of Amazing!
Thank you all for joining us in this discussion; I hope this has been helpful and you now have a solution for processing your 1 million + camera trap imagery. If you have any questions for Kate, please feel free to drop them in this discussion thread- she is more than happy to answer. If you’d like to reach out to Kate directly, you can Direct message her here or send her an email at: [email protected]
Thank you!
23 June 2022 11:45am
Thank you so much Netty, I really enjoyed it.
Good luck to you all with your work.
Keep well!
29 September 2022 4:05am