Road Infrastructure Issues Detection Dataset with 9,660 Images

9,660 high-resolution RGB images categorized for detecting urban infrastructure problems. The dataset, created by Programmer-RD-AI and last updated in August 2025, focuses on issues like potholes, damaged roads, broken signs, illegal parking, and environmental cleanliness for computer vision applications.

Use Cases

• Train object detection models to identify potholes and damaged roads based on image annotations.
• Develop classification systems for detecting illegal parking violations from street-level imagery.
• Build models for assessing road sign condition and environmental cleanliness issues mentioned in the description.

Strengths

• Contains 9,660 high-resolution RGB images.
• Specifically curated for computer vision and machine learning applications.
• Covers multiple critical urban infrastructure problem categories.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Programmer-RD-AI via Hugging Face

Collection Method

Likely collected and curated from various sources for computer vision tasks.

Time Range

null

Freshness

Last updated 2025-08-10 07:34:46; freshness should be verified.

Geography

Region 'us' is indicated in platform tags, suggesting a possible U.S. focus.