top of page
wave_background

Turning wildlife camera trap data into national insight

Australia’s national platform for processing and sharing wildlife camera data

Explore more
Explore More

40+

Projects

14k+

Deployments

600+

Species

18M+

Images

pheasent_coucal.jpeg
brush turkey DBNP_14_B.jpeg
pademelon buff DBNP_14_bush.jpeg
FI005A_dingo.JPG
cassowary juvenile DNP_10_bush.jpeg
DSCF0215.JPG
wave_background2_edited.png
Wildlife_ZAmir_Lumholtz_tree_kangaroo.jpg

Thousands of cameras, one national picture

Across Australia, wildlife cameras capture invaluable moments every day. WildObs brings these images together into a shared digital platform, transforming scattered data into coordinated national insight.

Discover

The challenge

Disconnected systems limit the long-term value of wildlife camera trap images and  national monitoring.

The approach

Shared, standardised infrastructure transforms
wildlife camera trap images into coordinated insight.

Platform

What WildObs Brings to Your Research

Built on Australia’s national research infrastructure, WildObs provides the tools needed to turn wildlife camera trap images into reliable, reusable insight.

AI Image Management Platform

A user-friendly platform for managing wildlife camera trap images at scale. WildObs provides AI-assisted tools for organising, reviewing, and annotating images, reducing manual effort while maintaining scientific oversight and data quality.

Standardised Data Infrastructure

A standardised data model and scalable database for storing wildlife camera detections and metadata. This ensures consistency across projects, enables comparison over time and space, and supports national-scale analysis.

Tagged Image Repository

A central repository for verified, tagged wildlife camera trap images. The repository provides a high-quality, standardised image resource that supports machine learning development, model benchmarking, and future AI-driven ecological research across Australia.

Computer Vision Models

Australia-specific AI models for wildlife image classification. Trained on local species and environments, these models support accurate animal detection and species identification at scale, enabling consistent and reliable analysis of large camera trap image collections.

square_background

What WildObs brings to your research

Built on Australia’s national research infrastructure, WildObs provides the tools needed to turn wildlife camera trap images into reliable, reusable insight.

AI image management platform

A user-friendly platform for managing wildlife camera trap images at scale. WildObs provides AI-assisted tools for organising, reviewing, and annotating images, reducing manual effort while maintaining scientific oversight and data quality.

Explore more
WildObs database

A standardised data model and scalable database for storing wildlife camera detections and metadata. This ensures consistency across projects, enables comparison over time and space, and supports national-scale analysis.

Explore more
Tagged image repository

A central repository for verified, tagged wildlife camera trap images. The repository provides a high-quality, standardised image resource that supports machine learning development, model benchmarking, and future AI-driven ecological research across Australia.

Explore more
Computer vision models

Australia-specific AI models for wildlife image classification. Trained on local species and environments, these models support accurate animal detection and species identification at scale, enabling consistent and reliable analysis of large camera trap image collections.

Explore more
AI image management platform

A user-friendly platform for managing wildlife camera trap images at scale. WildObs provides AI-assisted tools for organising, reviewing, and annotating images, reducing manual effort while maintaining scientific oversight and data quality.

Explore more
WildObs database

A standardised data model and scalable database for storing wildlife camera detections and metadata. This ensures consistency across projects, enables comparison over time and space, and supports national-scale analysis.

Explore more
Tagged image repository

A central repository for verified, tagged wildlife camera trap images. The repository provides a high-quality, standardised image resource that supports machine learning development, model benchmarking, and future AI-driven ecological research across Australia.

Explore more
Computer vision models

Australia-specific AI models for wildlife image classification. Trained on local species and environments, these models support accurate animal detection and species identification at scale, enabling consistent and reliable analysis of large camera trap image collections.

Explore more

The WildObs Platform

Platform

What WildObs Brings to Your Research

Built on Australia’s national research infrastructure, WildObs provides the tools needed to turn wildlife camera trap images into reliable, reusable insight.

Tagged Image Repository

A central repository for verified, tagged wildlife camera trap images.
This resource supports machine learning development, model benchmarking, and future AI-driven ecological research.

Tagged Image Repository

A central repository for verified, tagged wildlife camera trap images.
This resource supports machine learning development, model benchmarking, and future AI-driven ecological research.

Tagged Image Repository

A central repository for verified, tagged wildlife camera trap images.
This resource supports machine learning development, model benchmarking, and future AI-driven ecological research.

Tagged Image Repository

A central repository for verified, tagged wildlife camera trap images.
This resource supports machine learning development, model benchmarking, and future AI-driven ecological research.

wave_background_edited.png

From field to insight 

A simple, end-to-end workflow that turns wildlife camera trap images into reliable, reusable knowledge, supporting large-scale and long-term monitoring across Australia.

Discover

1

Field deployment

A streamlined workflow that turns field-collected camera-trap data into reliable, reusable knowledge for long-term monitoring.

2

Image ingestion

Images and core metadata are uploaded to WildObs, where data is harmonised and prepared for analysis.

3

AI-assisted detection

Computer vision models detect animals and assist with species identification, tailored to Australian wildlife and habitats.

4

Quality verification

Researchers review and validate outputs, keeping humans in the loop to ensure accuracy and integrity.

5

Standardised analytics

Validated detections are structured into standardised datasets, enabling population analysis, trend monitoring, and modelling.

6

Sharing & reporting

Data products are securely shared through national infrastructure, supporting collaboration, reporting, and decision-making.

40+

Projects

14k+

Deployments

18M+

Images

600+

Species

Dataset

A growing national dataset

WildObs is building a large, diverse collection of wildlife camera trap data across Australia, expanding in both geographic coverage and taxonomic representation.

40+

Projects

14k+

Deployments

18M+

Images

600+

Species

2f2d677883b768ffc5e3bd6d389f5bdd.png
6e846173b7dd4053d6185eebe187131b.png
wave_background2_edited.png

Users

Built for the people doing the work

Whether you're tracking species in the field or making decisions in the office, WildObs gives you the data and tools you need.

Researchers & Academics

Universities and research organisations analysing large scale wildlife camera data

Environmental Managers

Land managers and conservation practitioners using species data to guide on-ground decisions.

f06fca495bef81266bc1807f2bb906d1 (1).jpg
f20882c71534225d9391a19670ae45b7 (1).jpg

Government & Policy Agencies

Government tracking biodiversity, ensuring environmental compliance, and informing policy.

Community & Science Groups

Community organisations, NGOs, and citizen scientists contributing and accessing wildlife data.

small_hexagon3.png

Turn camera trap images into scalable insight 

Keep up to date with platform updates, new features, and developments across Australia’s wildlife camera data infrastructure.

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).

ARDC-logo-1024x334.png.webp
ALA_Logo_Stacked_RGB (1)_edited.png
BHA_Brandmark_FullColour_Landscape Brandmark Full Colour_edited.png
NCRIS_logo.png
bottom of page