Groups joined
Resources added
Molly Blank added a new External Link - "SpeciesNet: first impressions from 37k images in Namibia" to Camera Traps
Groups
Group
- Group Stats
-
- 990
- 2533
- 537
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.
- Latest Resource
- /
- Announcing the WILDLABS Awards 2026 Grantees
Learn about the 16 selected projects that are working to innovate, scale, and adopt conservation technology for this year’s WILDLABS Awards.
Group
- Group Stats
-
- 1406
- 1740
- 620
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.
- Latest Resource
- /
- Deep Voice - A Free Online Platform for AI-Based Marine Mammal Sound Detection and Classification
Passive acoustic monitoring floods marine researchers with data that can take months to annotate by hand, and the AI models that could help have long required Python setup, GitHub repos, and complex config files. Funded by the WILDLABS Awards 2025, Deep Voice removes that barrier with a free, public web app that turns marine mammal sound detection into a simple drag-and-drop task.
Bookmarks
Keep track of the resources that matter to you! Collections let you save, organise, and share content from all over the WILDLABS community. Create your first collection by clicking on the bookmark icon wherever you see it.
My Courses
These are your in-progress and completed courses. Explore more courses through our catalogue.
To find courses you have created, see your "My Draft Content" or "My Content" tabs.
Settings
Molly Blank's Content
Link
I put together some initial experiences deploying the new SpeciesNet classifier on 37,000 images from a Namibian camera trap dataset and hope that sharing initial impressions might be helpful to others.
23 April 2025
Molly Blank's Comments
Be part of the conversation! Once you've joined a discussion in the community, your comments will show up here.