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Tagged image repository

The WildObs Tagged Image Repository provides access to a high-quality collection of wildlife camera-trap images that have been carefully labelled with species identifications and supporting metadata. Hosted by the Atlas of Living Australia (ALA), the repository supports both ecological research and the development of automated species recognition models.

Access via ALA
pademelon buff DBNP_14_bush.jpeg
pheasent_coucal.jpeg
cassowary juvenile DNP_10_bush.jpeg
long-nose bandicoot no-tail MLNP_06_Road.jpeg
scrubfowl 2 WOONP_32_B.jpeg
curlew.jpeg
brush turkey DBNP_14_B.jpeg
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bennets tree roo DNP_01_Bush.jpeg
FI_Cen_Site230_20170604_105558_Dingo.JPG
cassowaries baby DNP_10_bush.jpeg
black butcherbird juvenile GOLD_02_b.jpeg
pheasent coucal gold_20_r.jpeg
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pig mom and babies GOLD_8_bush 8 2.JPG.jpeg
pademelon buff DBNP_14_bush.jpeg
pheasent_coucal.jpeg
cassowary juvenile DNP_10_bush.jpeg
long-nose bandicoot no-tail MLNP_06_Road.jpeg
scrubfowl 2 WOONP_32_B.jpeg
curlew.jpeg
brush turkey DBNP_14_B.jpeg
DSCF0215.JPG
bennets tree roo DNP_01_Bush.jpeg
FI_Cen_Site230_20170604_105558_Dingo.JPG
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Turning tagged images into insight

The Tagged Image Repository makes verified camera-trap images available for reuse, analysis, and model development, supporting consistent and reproducible research outcomes.

Verified species labels

Images are labelled with expert-verified species identifications, providing a reliable foundation for ecological analysis and machine learning workflows.

Rich supporting metadata

Each image is accompanied by contextual metadata, including location, date, and time, enabling spatial, temporal, and behavioural analyses.

Research-ready datasets

Curated subsets of tagged images can be accessed and reused across projects, reducing duplication of effort and supporting comparative studies.

Trusted national hosting

The repository is hosted by the Atlas of Living Australia, ensuring long-term preservation, discoverability, and alignment with national biodiversity infrastructure.

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How the repository is used

The repository enables tagged images to be reused for machine learning, ecological analysis, and conservation applications.

AI model training and evaluation

The repository serves as a high-quality training and testing resource for researchers developing computer vision models for automated species recognition.

Ecological research and monitoring

Verified image data supports ecological studies such as species occupancy modelling, behaviour analysis, and environmental reporting.

Targeted image access for behavioral analysis

Researchers can download specific subsets of images based on species, region, or time period to support focused analyses or model development.

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A growing collection of tagged image datasets

Browse tagged camera-trap image datasets hosted through the WildObs Tagged Image Repository. This collection will continue to expand as new datasets are curated and published.

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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).

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