AI-Detected Road Defects in Moreton Bay Region

Moreton Bay Regional Council uses AI analysis of dashcam footage from waste trucks to identify road infrastructure issues. The dataset includes results from this automated detection system, though the specific row count and column features are not detailed. It is provided by the City of Moreton Bay's Data Hub and was last updated in March 2026.

Use Cases

• Train object detection models to identify specific road defect types from dashcam imagery referenced in the data.
• Analyze the spatial distribution of AI-detected infrastructure issues across the Moreton Bay region for maintenance prioritization.
• Correlate defect detection data with temporal or geographic tags (Mbrc, Govhack) to assess program effectiveness over time.

Strengths

• Data originates from a direct municipal initiative, providing real-world operational relevance.
• Leverages AI for automated detection, potentially reducing manual inspection bias.
• Available in multiple geospatial formats (GEOJSON, KML) facilitating GIS analysis.

Limitations

• Unknown sample size and specific data schema limit assessment of statistical power.
• Potential geographic bias, as data is confined to the Moreton Bay Council area.
• Reliance on dashcam footage from waste trucks may create systematic coverage gaps in the road network.

Provenance

Source

City of Moreton Bay's Data Hub (moretonbaygis).

Collection Method

AI analysis of dashcam footage collected from council waste collection vehicles.

Time Range

null

Freshness

Last updated March 2026.

Geography

Moreton Bay Regional Council area, Queensland, Australia.