About
Whiskerbook is a specialized conservation platform powered by AI and citizen science, focused exclusively on wild cat species such as jaguars, leopards, snow leopards, ocelots, and cheetahs. Built on the open-source Wildbook framework developed by Conservation X Labs, it functions as both a visual encounter database and an intelligent photo-identification engine. Users — from casual wildlife photographers to professional field biologists — can submit encounter reports with photos, GPS coordinates, dates, and species metadata. The platform's computer vision algorithms analyze coat patterns and markings (similar to facial recognition) to match new photos against thousands of previously catalogued individuals. Researchers then verify matches before creating or updating individual animal profiles. The platform supports bulk data imports, individual animal galleries, encounter calendars, and sighting searches. It tracks over 2,200 identified animals across nearly 48,000 reported sightings, with contributions from more than 350 citizen scientists and researchers worldwide. Whiskerbook is ideal for wildlife biologists conducting mark-recapture studies, conservationists monitoring population health, and citizen scientists who want their field photos to contribute meaningfully to science. Its combination of machine learning automation and expert verification ensures high data integrity, making it a trusted resource for peer-reviewed wildlife research.
Key Features
- AI Photo Identification: Computer vision algorithms analyze distinctive coat patterns and markings to match new wild cat photos against a growing database of individually catalogued animals.
- Citizen Science Encounter Reporting: Anyone can submit wildlife encounter photos with location, date, and species data — contributing directly to scientific conservation databases.
- Researcher Verification Workflow: Every photo submission goes through expert researcher review before matches are confirmed, ensuring high data quality and scientific integrity.
- Individual Animal Profiles & Galleries: Each identified animal receives a unique profile tracking its full sighting history, enabling long-term population monitoring and behavioral research.
- Bulk Import & Advanced Search: Researchers can bulk-import field data and search encounters by species, location, date, or individual, with tools for project-level data management.
Use Cases
- Field biologists conducting mark-recapture population studies on wild cat species across multiple locations over time.
- Wildlife photographers submitting encounter photos from safaris or fieldwork to contribute to global conservation databases.
- Conservation organizations monitoring the range and health of threatened wild cat populations using crowdsourced sighting data.
- University students and researchers using the encounter database for ecological studies, species distribution modeling, and behavior analysis.
- National parks and game reserves cataloguing resident wild cat individuals and tracking their movements and survival rates.
Pros
- Free for Citizens and Researchers: Whiskerbook is entirely free to use, lowering barriers for citizen scientists, students, and conservation organizations with limited budgets.
- Scientifically Rigorous: The combination of machine learning and expert researcher verification produces high-integrity data suitable for peer-reviewed conservation studies.
- Large, Growing Community Database: With over 2,200 identified animals and 47,000+ sightings, the dataset is extensive enough to support meaningful population-level analysis.
- Citizen Science Integration: Non-expert users can make genuine scientific contributions by submitting field photos, broadening the geographic and temporal coverage of wildlife data.
Cons
- Narrow Species Focus: Whiskerbook is exclusively dedicated to wild cats, making it unsuitable for researchers studying other wildlife species.
- Requires Researcher Verification: The human review step can introduce delays between photo submission and confirmed identification, which may be frustrating for users seeking instant results.
- Photo Quality Dependent: AI matching accuracy depends heavily on the quality and angle of submitted photos; poor images of coat patterns may fail to produce reliable matches.
Frequently Asked Questions
What species does Whiskerbook cover?
Whiskerbook focuses on wild cat species including jaguars, leopards, snow leopards, cheetahs, ocelots, Pallas cats, and hyenas, among others.
How does the AI photo identification work?
Whiskerbook uses computer vision to analyze distinctive coat patterns (spots, rosettes, stripes) from submitted photos and compares them against all previously catalogued individuals in the database — similar to facial recognition, but for animal markings.
Do I need to be a scientist to use Whiskerbook?
No. Citizen scientists and wildlife photographers are encouraged to submit encounter reports. Researchers will review and verify all submissions, so you don't need to be an expert to contribute.
Is Whiskerbook free to use?
Yes, Whiskerbook is free for both citizen scientists and researchers. The project is supported by Conservation X Labs and community donations.
How is Whiskerbook related to Wildbook?
Whiskerbook is built on the open-source Wildbook platform developed by Conservation X Labs. Wildbook powers multiple wildlife identification databases for different species, and Whiskerbook is the dedicated instance for wild cats.
