About
Wild Me, developed under Conservation X Labs, is a nonprofit technology organization dedicated to harnessing machine learning and open-source software to advance wildlife conservation. Their flagship platform, Wildbook, enables researchers to perform automated individual animal identification using photo submissions, supporting long-term population tracking and data curation at scale. The Scout platform helps conservation teams monitor wildlife through AI-assisted field data collection, while Fin Finder offers specialized tools for marine species like sharks and dolphins. Wild Me's AI engine employs 7 distinct identification algorithms, each tailored to the unique physical characteristics of different species — from giraffes and lynx to whales and sea dragons. This approach allows high-accuracy matching even across large datasets contributed by researchers worldwide. The open-source codebase encourages global collaboration and has grown over 12 years into a robust ecosystem trusted by conservation scientists. Designed for conservation biologists, wildlife researchers, and NGOs, Wild Me removes barriers to species monitoring by providing free, community-driven tools that scale across borders and regions. Whether tracking migration patterns, estimating population size, or identifying individuals from camera traps, Wild Me empowers researchers with state-of-the-art AI without requiring deep technical expertise. Their work has directly informed 74 peer-reviewed journal publications and helped monitor 53 species globally.
Key Features
- Automated Animal Identification: Uses 7 specialized AI algorithms to identify individual animals from photos, tailored to the unique physical traits of each species.
- Wildbook Platform: An open-source platform for long-term wildlife data curation, high-speed AI-powered data processing, and population research across global teams.
- Scout for Field Monitoring: A companion platform enabling conservation teams to collect and process wildlife data in the field with AI-assisted tools.
- Fin Finder for Marine Species: A specialized add-on for identifying marine animals such as sharks, dolphins, and whales from fin and body imagery.
- Cross-Border Research Collaboration: Enables conservation researchers from different regions and institutions to share data and collaborate on population studies globally.
Use Cases
- Conservation researchers using Wildbook to identify and track individual animals across multiple photo submissions from different locations and contributors.
- Marine biologists leveraging Fin Finder to catalog and monitor populations of sharks, dolphins, and whales from field photography.
- NGOs and wildlife agencies conducting rapid population assessments of endangered species using AI-powered photo analysis.
- International research collaborations sharing wildlife sighting data across borders through a unified open-source platform.
- Academic institutions publishing peer-reviewed studies on species population dynamics using data curated and processed by Wild Me platforms.
Pros
- Fully Open Source: All platforms and code are open source, making powerful AI conservation tools freely accessible to researchers and NGOs worldwide.
- Scientifically Validated: Over 74 peer-reviewed journal publications have been informed by Wild Me technologies, demonstrating research credibility and impact.
- Broad Species Coverage: Supports automated identification for 53 species with algorithms customized to each animal's unique identifying features.
- 12+ Years of Continuous Development: A mature, well-maintained platform backed by machine learning experts and software professionals with deep conservation domain knowledge.
Cons
- Narrow Use Case: The platform is purpose-built for wildlife conservation research and is not applicable to general-purpose AI or commercial use cases.
- Technical Setup Required: Deploying or contributing to Wildbook and related platforms requires technical knowledge, which may be a barrier for less tech-savvy conservation teams.
- Dependent on Photo Quality: Automated identification accuracy relies heavily on the quality and angle of submitted wildlife photos, which can vary significantly in field conditions.
Frequently Asked Questions
What is Wild Me?
Wild Me is a nonprofit organization under Conservation X Labs that develops open-source AI and machine learning tools to help conservation researchers track, identify, and study wildlife populations globally.
What is Wildbook?
Wildbook is Wild Me's flagship open-source platform that allows researchers to upload wildlife photos and use AI to automatically identify individual animals, enabling long-term population monitoring and cross-institutional data sharing.
Is Wild Me free to use?
Yes, Wild Me's platforms are open source and freely available to the conservation research community. The organization is nonprofit and accepts donations to support ongoing development.
Which species does Wild Me support?
Wild Me currently supports automated identification for 53 species, including whales, sharks, giraffes, dolphins, lynx, sea dragons, and many more, using algorithms tuned to each species' unique characteristics.
How does the AI identification work?
Wild Me uses 7 distinct ID algorithms that analyze submitted photos to match individual animals based on unique physical patterns — such as whale flukes, shark fin shapes, or giraffe coat patterns — against an existing database of known individuals.
