10,000 street view images are paired with annotations for infrastructure, visual perception, and environmental context. The dataset was curated by Sadhana-24 and updated in October 2025.
Use Cases
- Train models to predict infrastructure characteristics from annotated street view images.
- Generate textual descriptions of urban scenes using visual perception metrics.
- Perform semantic segmentation of street view imagery using provided segmentation data.
- Analyze correlations between environmental context annotations and visual scene elements.
Strengths
- 10,000 curated street view images.
- 25 annotated features per image covering multiple urban analysis dimensions.
Limitations
- Specific row count, column names, and sample size for annotations are unknown.
- Geographic coverage and temporal range of the imagery are unspecified.
Provenance
- Source
- Sadhana-24
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- null