Wild Me

Wild Me

Environmental Services

Portland, OR 1,036 followers

AI for Wildlife Conservation and Research

About us

Wild Me (www.wildme.org) — a 501(c)(3) non-profit organization focused on wildlife conservation — is uniquely comprised of software and machine learning engineers advised by pre-eminent biologists and computer scientists. Wild Me has direct experience in wildlife research and related software development through our open source Wildbook platform (http://www.wildbook.org), which started in 2003 as a web-based collaboration to generate new population metrics for whale sharks (Rhincodon typus) in conjunction with tourism. As the success of whaleshark.org generated interest in applying Wildbook to other species, we completed projects with researchers, tour operators, and citizen scientists studying zebras, humpback whales, sevengill sharks, ragged tooth sharks, and giant manta rays.

Website
https://www.wildme.org
Industry
Environmental Services
Company size
2-10 employees
Headquarters
Portland, OR
Type
Nonprofit
Founded
2008
Specialties
computer vision, wildlife research, artificial intelligence, and data management

Locations

Employees at Wild Me

Updates

  • Wild Me reposted this

    View profile for Paul Bunje, graphic

    President at Conservation X Labs

    We at Conservation X Labs are so excited to be a part of this incredible project, alongside Sequoia and Kings Canyon National Parks, USGS, Microsoft, and more. Our Wild Me lab will be applying next-gen AI tools for identifying giant sequoias that are threatened by catastrophic wildfire, drought, and now bark beetle attacks. Understanding what is happening and why is a herculean task, one that AI can actually help us solve. Without these measurements, scientists and managers simply can't begin to protect these most iconic of trees. As a native Californian, one for whom these forests and these trees helped inspire my own journey into nature, I couldn't be more excited about what this project will bring to protecting the Giant Sequoia.

    View profile for Rahul Dodhia, graphic

    My book "AI for Social Good: Using AI to Save the World" is now at your favorite online book seller!

    Giant sequoias are some of the most awe-inspiring species on Earth. These ancient giants can live over 3,000 years, meaning some trees began life when humans were building civilizations in ancient Mesopotamia. They’ve withstood centuries of natural fires, growing to incredible heights. The largest known giant sequoia is called General Sherman: it stands over 275 feet tall, nearly the height of the Statue of Liberty, with branches larger than most other full-grown trees. Very recently, these ancient giants have been facing threats to their survival. In the past five years, wildfires fueled by climate change have wiped out nearly 20% of the world’s sequoia population, a huge loss once thought impossible. Prolonged drought has further weakened these trees and enabled a new threat. Bark beetles have started infesting these trees, weakening them, eventually killing them within a few months. So, what can we do? We have to start by identifying where these trees are and which ones are dying. Recent advances in technology mean that we can attempt to use high-resolution satellite imagery and AI to monitor these trees over 50,000 acres of sequoia groves to pinpoint where action is needed most. I recently had the incredible opportunity to join researchers from the National Park Service, US Geological Survey, and Wild Me to scope out this effort. Photos don’t fully capture the majesty of these trees, but I’ve included a few below to give a glimpse. If you ever get the chance, seeing a sequoia in person is a humbling reminder of what we stand to lose. #sequoia #conservation #NPS #wildme

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  • Wild Me reposted this

    View profile for Tanya Berger-Wolf, graphic

    Director, TDAI at OSU || Imageomics || ABC Global Climate Center || Wild Me || Interdisciplinary translational scientist, collaborator, team builder. AI for ecology, biodiversity, and conservation.

    AI Is Helping Solve Biodiversity’s Data Problem

    AI Is Helping Solve Biodiversity’s Data Problem

    scientificamerican.com

  • Wild Me reposted this

    This #GivingTuesday, YOU can help prevent the Sixth Mass Extinction. Pictured is a whale shark, one of many species that conservationists work tirelessly to monitor and protect. At Wild Me (a core initiative of Conservation X Labs), we’re harnessing AI through open source software to empower researchers with faster, more accurate tools to track animals across borders, oceans, and time. Your support today is an investment in bold, world-changing technologies that scale conservation efforts and create new possibilities for protecting wildlife. Dare mighty things with us. Please help support our work: https://lnkd.in/gkpUDVJe 

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  • Wild Me reposted this

    The Angolan giraffe - a.k.a. "Smokey" or Namibian giraffe - topped our data leaderboard last week in Wildbook. Sand tiger sharks also appeared in the top 4. A common thread: the new MiewID v3 AI model is used to identify individuals from both species. We'll be announcing its advanced capabilities soon! 🦒 🦈

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  • Wild Me reposted this

    Lagenodelphis hosei (Fraser's dolphin or Sarawak dolphin) formed the largest chunk of new data flowing into Wildbooks last week. Sometimes swimming in large groups of 100-1000, this wide-ranging species is also a deep diver (up to 500m). 🐬 This is also a great example of zero-shot learning, in which our multispecies AI model can support identifying individuals without ever having seen a Fraser's dolphin. The model has learned from individuals of 49 other marine and terrestrial species (including other dolphin species) and uses that to help answer the question "Which individual Fraser's dolphin is this?" in the Flukebook.org Wildbook platform.

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  • Chital deer (Axis axis) led data growth in Wildbook last week. We're learning how to efficiently process very high volumes of camera trapping data (hundreds of thousands of photos per project), which is valuable experience as we grow and optimize functionality for many species and image collection platforms. Performance at scale is angle that conservation-focused engineers have to consider when evaluating emerging technologies in software and AI. 🦌 🦒 🐕

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Similar pages

Funding

Wild Me 1 total round

Last Round

Grant

US$ 250.0K

See more info on crunchbase