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AI for Conservation / Feed

Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera trap and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data.

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Conservation Technology Research Internship

Boost cons tech capacity at an international NGO! Fauna & Flora International is offering a paid three-month internship to consolidate and share best practices for the application of emerging hardware and software...

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Ceres Wild Rhino application 

An update on Ceres Tags products that are being used in conservation 

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Some updates and a news report on the Malilangwe Trust application of devices; Ceres Trace and Ceres Wild
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Lead Software Engineer, Wildlife Insights

Are you creative, love new challenges and have experience developing software? The Wildlife Insights team is hiring! Join a diverse team of ecologists, data scientists, engineers and machine learning experts to protect...

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Technology may solve climate change problems, but it’s also causing them | VentureBeat

Interesting thought piece from Mark Minevitch (AI for Good) et al. on the promise of AI and other ICT innovation to deliver on climate challenges, existing ICT sector emissions - and the three types of carbon lock-in which need to be actively managed (behavioural, digital, infrastructure).

'The danger is that the promises of digital technology can blind us to its less-recognized contributions to climate woes. Emissions from the ICT sector already rival those of the airline industry. Moreover, the few studies done so far (a,b,c) suggest the ICT sector’s emissions will at least double to 2-3 GTCO2e and if the rise in global GHG emissions is limited to 1.5˚C by 2030, contribute approximately 10% of the global GHG burden — nearly equal to that of the automotive industry. And these are cautious estimates.'

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Can deep learning identify seabirds? (species, within-species, individual)

Hello everyone,I am looking for insight on the feasibility of identifying seabirds from photos taken at sea (such as these https://www.flickr.com/photos/9191812@...

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Update: I asked the same question on twitter so I'm sharing answers I got there:

https://twitter.com/YvanSatge/status/1529841782191792130?s=20&t=kbPCEOeZpuRM8MHT4No-ZQ

Hi Yvan, 

I dropped this into the AI for Conservation slack group as well, you got this reply this morning: 

Steph 

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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discussion

Identify animal from Image

I am thankful to the members of Wildlabs net for giving us the right information to enable us to plan Bioacoustics solution implementation. It seems to be on track as of now....

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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.

 

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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CERES TAG

Ceres Tag sends just in time alerts and GPS location to have the power to track and trace.

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Hello there

Hi everyone, I'm new here! I'm a UX designer and researcher, and an animal lover. Excited to be part of Conservation Tech here at WildLabs! Feel free to reach out to me for...

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MegaDetector v5 release

Some folks here have previously worked with our MegaDetector model for categorizing camera trap images as person/animal/vehicle/empty; we are excited to announce MegaDetector...

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Great news Dan! We will be giving the model  a go on some of our new eradication projects soon

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discussion

Live Q&A on AI models to process Camera Trap Imagery: All about WildID

Hey everyone,Do you have bulk camera trap imagery or are you looking to set up camera traps to collect wildlife data? Camera traps are undoubtedly one of the most useful and...

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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.

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!
 

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