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AI image management platform
The WildObs AI Image Management Platform is a web-based system for organising, processing, and archiving wildlife camera-trap images and videos. It supports collaborative surveys, secure storage, and standardised outputs, with AI-assisted species recognition and blank-image filtering to accelerate annotation.
What the platform enables
Everything you need to manage wildlife camera-trap images, from upload and annotation to collaboration and data export, in one platform.
AI-assisted processing
Use computer vision models to automatically detect animals, filter blank images, and suggest species labels, while keeping humans in the loop.
End-to-end image management
Manage the full lifecycle of camera trap images, from upload to annotation, validation, and export, within a single, integrated platform.
Collaborative workflows
Support teams working across projects and locations with shared surveys, role-based access, and consistent workflows.
Standardised outputs
Generate structured, analysis-ready datasets aligned with community standards (Camtrap DP) for reuse, comparison, and sharing.
From field images to research outputs
A streamlined, end-to-end workflow that supports the management, annotation, validation, and export of wildlife camera-trap data within a single, integrated platform.
1
Import
Upload images and videos directly through your browser using drag-and-drop. Organise data by project, survey, site, and deployment.
2
Annotate
Apply AI models to automatically detect wildlife and propose species labels. Review, correct, and validate annotations through intuitive interfaces.
3
Analyse
Explore image sequences, detections, and metadata using built-in visualisation and filtering tools to support quality control and interpretation.
4
Export
Generate standardised CamtrapDP outputs for downstream analysis, reporting, or integration with external platforms.
Built for scale and reliability
The WildObs platform is designed to support long-term, large-scale wildlife monitoring, with scalable storage and processing capabilities that grow with your data and research needs.
High-capacity storage
Store and manage large camera-trap image and video collections using high-capacity storage designed to scale smoothly as project data grows.
GPU-powered processing
Accelerate image processing and AI-assisted annotation using GPU-enabled infrastructure, supporting fast and efficient analysis of large datasets.
Secure and controlled access
Protect sensitive data with secure storage and role-based access controls, ensuring the right people have the right level of access at every stage.
Automated backups
Safeguard data through automated backup processes that protect against data loss and support long-term preservation and reliability.
Powered by trusted technology
The AI Image Management Platform is built on trusted research technology and hosted within Australian research infrastructure to ensure reliability, scalability, and long-term sustainability.
Agouti image management platform
Agouti is a camera-trap image management system developed as a non-profit initiative of Wageningen University and the Research Institute for Nature and Forest (INBO). WildObs operates an Australian deployment of the platform, extending its capabilities and integration into national biodiversity data systems.
ARDC Nectar cloud infrastructure
The WildObs AI Image Management Platform is hosted on Australia’s ARDC Nectar Cloud, providing scalable storage and GPU-enabled computing within national research infrastructure to support high-performance, large-scale image processing and long-term data management.
Working together at national scale
WildObs partners with leading Australian research and conservation organisations to support large-scale monitoring, data sharing, and ecological research across Australia.
WildObs is a co-investment partnership with the Australian Research Data Commons (ARDC) through the Planet Research Data Commons (DOI: 10.3565/bvg2-b035). The ARDC is enabled by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS).
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