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Shir Bar added a new Discussion - "CV4E 2025 application deadline extended" to Conservation Tech Training and Education
Shir Bar added a new Discussion - "Image datasets of Indo-Pacific fish species " to Marine Conservation
Groups
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The Animal Movement Group is a collaborative community dedicated to advancing the study, monitoring, and conservation of animal movement. It provides a space for researchers, practitioners, and innovators to exchange knowledge, explore bio-logging approaches and data, and address conservation challenges linked to species mobility.
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- Wild Moves and Wild Album: New GBIF Data Portals for Animal Tracking and Camera Trap Data
New data portals are making it easier to discover and explore wildlife tracking and camera trap datasets from around the world.
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- remote sites as 'Edge computing'
This group unites those working at the intersection of edge AI and conservation, focusing on real-time, on-device data processing for environmental monitoring to facilitate sharing tools, models, and strategies to overcome challenges in remote, low-connectivity areas.
🌍 Conservation technology is transforming how we protect wildlife, but are we thinking carefully enough about the risks? Drones, camera traps, GPS trackers, acoustic sensors, AI, and remote sensing have become essential tools for conservation practitioners around the world. They help us monitor species, detect threats, and respond faster than ever before. But these same technologies can also introduce unintended risks, and in some cases, can be exploited by those seeking to harm the very wildlife we're trying to protect. 🦏 Input now and/or join the discussions/research.
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- London Climate Action Week 2026 Conservation Technology Related Events?
The WILDLABS Community Base is the ideal place to get oriented with the all that our community platform offers, hear about news and opportunities, and to meet new friends and collaborators.
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- Relive ICTC 2026: Main stage Videos and Presentations now available!
Whether you missed a parallel session in Lima, couldn't make the journey to Peru, or simply want to revisit the most inspiring main stage moments, you can now access the recordings and presentations generously shared by our community of speakers.
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- Conservation Technology - Paris, France
Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera traps 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. The AI For Conservation group is intended to unite and inspire all WILDLABS community members—whether already involved in AI for conservation, or not—to understand how to use and/or directly contribute to open-source research and development efforts.
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- Open-Source Solutions for Amphibian Passive Acoustic Monitoring: Lessons from Patagonia
Monitoring amphibians across the temperate forests of Patagonia presents significant logistical and technical challenges. Remote locations, harsh environmental conditions, and the large volumes of data generated by Passive Acoustic Monitoring (PAM) can make long-term biodiversity surveys difficult to implement and maintain. In addition, environmental data often relies on multiple independent devices, increasing costs, complexity, and logistical demands in remote field conditions. Through the WILDLABS Awards 2025, our team explored practical ways to address these challenges by combining open-source hardware, environmental sensing, and AI-assisted acoustic analysis.
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- Custom Hydrophone Records Dolphins
Welcome to the official group forum for our virtual course, Build Your Own Data Logger. This is your space to engage with course instructors Akiba and Jacinta from Freaklabs, find help and resources for each module, collaborate and chat with your fellow course participants, and share your progress on your own Data Logger project!
- Latest Resource
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- Open-Source Solutions for Amphibian Passive Acoustic Monitoring: Lessons from Patagonia
Monitoring amphibians across the temperate forests of Patagonia presents significant logistical and technical challenges. Remote locations, harsh environmental conditions, and the large volumes of data generated by Passive Acoustic Monitoring (PAM) can make long-term biodiversity surveys difficult to implement and maintain. In addition, environmental data often relies on multiple independent devices, increasing costs, complexity, and logistical demands in remote field conditions. Through the WILDLABS Awards 2025, our team explored practical ways to address these challenges by combining open-source hardware, environmental sensing, and AI-assisted acoustic analysis.
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Shir Bar's Content
Careers
We are very excited to announce the call for applications for the 5th CV4Ecology Short Course!!! This intensive program trains ecologists and conservation practitioners to develop their own AI tools for their own data...
13 May 2026
Discussion
Hi all,We've extended the Computer Vision for Ecology (CV4E) 2025 winter workshop application deadline to Monday, April 1st.More info on the program can be found in Justin's...
29 March 2024
Discussion
Hey all!I'm looking for image datasets of Indo-Pacific fish species (Red Sea, if I'm being specific) for detection/classification. Particularly, I'm looking for images taken in...
19 November 2022
Shir Bar's Comments
| Comment | Post | Date |
|---|---|---|
| Hi,If this is still relevant… | Underwater Fish Datasets from the Mediterranean |
Shir Bar commented on "Underwater Fish Datasets from the Mediterranean"