The WildLIVE Portal: Towards Scalable Wildlife Monitoring through the Integration of Citizen Science and Human-in-the-Loop AI Workflows

What this was about

Rajapreethi Rajendran presented the WildLIVE portal, which supports the lifecycle of camera trap wildlife monitoring: data management (Camtrap DP import/export, a Wildlife Monitoring Ontology built on SOSA and Web Annotation), a model registry supporting internally and externally hosted models ('bring your own model'), taxonomic name resolution through Catalogue of Life's ChecklistBank API, and human-in-the-loop verification by citizen scientists and experts. The ontology distinguishes classification from verification with full provenance, and project-level confidence thresholds can auto-approve high-confidence annotations. A GeoEngine-based virtual research environment connects results to Earth observation data, and data are published as FAIR digital objects with RO-Crate and FAIR Signposting.

Why it matters. It addresses trust in AI annotations by preserving the machine annotation and appending verification history, while making outputs machine-actionable.

In the room

• Model registry versions models; currently SpeciesNet and a custom jaguar model (Bolivia, South Africa).
• Catalogue of Life ChecklistBank provides stable species identifiers across models with different class names.
• Each annotation has one provenance object to which verification steps are appended.
• Consensus/threshold setting at project or capture-event level auto-approves annotations above chosen confidence.
• Virtual research environment by GeoEngine gives access to Sentinel-2, Copernicus land cover, burn data, etc.
• Planned: active learning, separating MegaDetector for blanks/humans, IUCN Red List-driven location obscuring, direct GBIF mobilisation.

Notable moments