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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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CV4Ecology Summer School

A three-week intensive summer school teaching Computer Vision Methods for Ecology, seeking to empower ecologists to accurately and efficiently analyze large image, audio, or video datasets using computer vision....

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WILDLABS Virtual Meetups Season Four: Tracking Progress

WILDLABS Team
This season, we’re bringing together leading engineers, conservationists, and academics to explore the future of technology in movement ecology and ask where exactly investment is needed to catapult this field forward....

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BirdCLEF 2022 Kaggle Challenge

The Cornell Lab of Ornithology
Join the BirdCLEF 2022 Kaggle challenge, where you’ll use your machine learning skills to identify bird species by sound. You'll develop a model that can process continuous audio data and then acoustically recognize the...

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Automatically detect animals in camera trap images and filter out the empties

Hello everybody, My name is Peter and I’m a wildlife ecologist from The Netherlands with a special interest in machine learning. I created a simple user interface for a...

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Introducing the WILDLABS On the Edge Fellows

WILDLABS Team
We're proud to introduce the first WILDLABS On the Edge Fellows for 2022, Loretta Schindlerova and Meredith Palmer! Working alongside expert Edge Impulse mentors, these two fellows will use embedded machine learning to...

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