Overview
Artificial Intelligence (AI) and Machine Learning (ML) involves using computer algorithms to analyse large amounts of data to identify patterns, predict behaviors, and make informed decisions to enhance conservation strategies and management.
Image credit: Sarah Bassing and the Washington Predator-Prey Project
Products
View all 83 AI/machine learning products
-
BioClip
BioCLIP is a large-scale multimodal model trained on millions of biological images used for species classification, habitat identification, and trait prediction, offering ecologists a powerful tool for biodiversity analysis and conservation.
-
WildWing
WildWing is an open-source unmanned aerial system (UAS) that autonomously collects high-quality behavioral video data of group-living animals, ensuring consistent footage for automated behavior recognition and wildlife monitoring.
-
KABR-tools
KABR-tools is a suite of software tools for automating the annotation and analysis of animal behavior in drone videos, designed to support animal behavior ecology research and machine learning model development.
-
KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos
This novel in-situ dataset of animal behavior recognition from drone videos, collected at the Mpala Research Centre in Kenya, provides over 10 hours of annotated footage of giraffes, plains zebras, and Grevy’s zebras, offering a resource for advancing ML for behavior recognition.
-
MMLA: Multi-Environment, Multi-Species, Low-Altitude Drone Dataset
MMLA is a multi-environment, multi-species drone dataset designed to improve wildlife detection in ecological monitoring by providing diverse, high-resolution video annotations for six species across three sites, enhancing model performance for autonomous drone systems.
-
WildTrackAI
WildTrackAI, developed by conservation experts at WildTrack, empowers communities worldwide to contribute to wildlife conservation.
WILDLABS content
Discussion
We're actively exploring new applications for CountGD, our object counting model designed to automatically count instances in images. So far, we've partnered with...
Discussion
Conservation involves a mosaic of actors — field practitioners, local communities, funders, government agencies, scientists, and more.Each one needs different levels of...
Funding Opportunity
BirdCLEF+ 2025
Alex Rood
Species identification from audio, focused on birds, amphibians, mammals and insects from the Middle Magdalena Valley of Colombia.
Events
In numbers
WILDLABS group
Reviews
-
Complete / Comprehensive / Easy to use / Free to use /Full Review
This is my go-to app for identifying any living thing, but I love using it mainly because the observations I make can help real science! I have had a few researchers specifically use data I have contributed...
-
Beginner friendly / Free to use /Full Review
Really good documentation and the package developers are very responsive to questions too! Great for folks like me who aren't super well-versed in Python. Easy set-up and just a few lines of code to get...
-
Beginner friendly / Easy to use / Free to use / Stable / Reliable /Full Review
The Cornell Lab of Ornithology, with eBird and Merlin, has revolutionized amateur and expert birding. With Merlin, you can download regional packs to explore bird species specific to an area, or use its AI-...
R&D
View all 11 AI/machine learning R&D
-
This R&D project serves as a testbed for distributed edge AI systems in conservation, using multimodal sensors and autonomous monitoring to enhance wildlife tracking, behavior analysis, and ecological research.
-
NBM project is about automating the tracking of birds migrating at night in Europe through the creation of a high quality dataset and the development of machine learning model.
-
R&D
Cost-effective, intelligent cameras for wildlife surveillance and detection which are low-cost, low-power and long-life.
-
A smart self-resetting kill-trap which uses AI technology, with real-time species identification to only trigger on your selected pest species.
-
R&D
OpenCollar is a conservation collaboration to design, support and deploy open-source tracking collar hardware and software for environmental and wildlife monitoring projects.
- RangerEdge
- RhinoEdge Cube – Horn implant
- + 5 more
-
By studying the patterns of honey bees using video cameras and an AI model, BeeLiving sensor are able to determine the biodiversity in that environment using a simple concept; the more different pollen colors are added, the greater the plant diversity in the area and the more balanced the food for the bee brood.
Organisations
-
Pl@ntNet
Pl@ntNet citizen science platform. Uses AI to identify and inventory plant species. One of the world’s largest biodiversity observatories.
-
-
Alchemy Software
Alchemy Software is a small, friendly software development company based in Cape Town, South Africa.
-
Red Ecoacústica Colombiana
Una red interdisciplinaria de investigadores y colaboradores comprometidos en explorar la intersección entre la acústica y la ecología, amplificando el conocimiento sobre la relación entre el sonido y el entorno natural.
-
-
Alberta Biodiversity Monitoring Institute (ABMI)
The ABMI is a non-profit, value-neutral biodiversity and land cover monitoring organization in Alberta, Canada. We have over 15 years of data freely available for use and download by anyone for any purpose.