Street-view image dataset and HRNet-OCR semantic segmentation outputs used for GVI analysis in Xinyang, China
Fuente:
Zenodo
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Recurso digital |
| Veröffentlicht: |
Zenodo
2026
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866902337207926784 |
|---|---|
| author | Jia, Xiaoli |
| author_facet | Jia, Xiaoli |
| contents | <p>This dataset contains the street-view images and corresponding semantic segmentation outputs used in the study of urban green exposure in Xinyang, China. The street-view images were retrieved from the Baidu Maps Street View API along major roads within the urbanized area and were used to calculate the Green View Index (GVI). Semantic segmentation was performed using the official HRNet semantic segmentation codebase with an HRNet-W48 backbone, an OCR module, and publicly available pretrained weights. The deposited files include the processed street-view image dataset and the corresponding segmentation results used for subsequent GVI analysis. This dataset is intended to support transparency, reproducibility, and reuse in studies of street-level greenness, urban vegetation, and green exposure assessment.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19465724 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Street-view image dataset and HRNet-OCR semantic segmentation outputs used for GVI analysis in Xinyang, China Jia, Xiaoli street-view imagery Green View Index Xinyang HRNet-OCR <p>This dataset contains the street-view images and corresponding semantic segmentation outputs used in the study of urban green exposure in Xinyang, China. The street-view images were retrieved from the Baidu Maps Street View API along major roads within the urbanized area and were used to calculate the Green View Index (GVI). Semantic segmentation was performed using the official HRNet semantic segmentation codebase with an HRNet-W48 backbone, an OCR module, and publicly available pretrained weights. The deposited files include the processed street-view image dataset and the corresponding segmentation results used for subsequent GVI analysis. This dataset is intended to support transparency, reproducibility, and reuse in studies of street-level greenness, urban vegetation, and green exposure assessment.</p> |
| title | Street-view image dataset and HRNet-OCR semantic segmentation outputs used for GVI analysis in Xinyang, China |
| topic | street-view imagery Green View Index Xinyang HRNet-OCR |
| url | https://doi.org/10.5281/zenodo.19465724 |