potholes país de Perú 2026 - test
The test dataset contains 1,245 road images from Peru, including diverse road, lighting, and environmental conditions. It includes annotated pothole instances for object detection and instance segmentation, enabling an objective evaluation of the model’s ability to accurately detect and segment poth...
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| Autor principal: | |
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| Formato: | Otro |
| Lenguaje: | español |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | Enlace permanente (DOI o Handle) |
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| _version_ | 1881700523927666688 |
|---|---|
| author | Benavidez Yzquierdo Sanchez |
| author_browse | Benavidez Yzquierdo Sanchez |
| author_facet | Benavidez Yzquierdo Sanchez |
| author_sort | Benavidez Yzquierdo Sanchez |
| collection | Producción científica |
| description | The test dataset contains 1,245 road images from Peru, including diverse road, lighting, and environmental conditions. It includes annotated pothole instances for object detection and instance segmentation, enabling an objective evaluation of the model’s ability to accurately detect and segment potholes in previously unseen images. |
| format | Other |
| id | openalex:W7214768490 |
| institution | UPeU |
| language | Spanish |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| record_format | dspace |
| spelling | openalex:W7214768490potholes país de Perú 2026 - testBenavidez Yzquierdo Sanchezpotholesroad damage detectionroad imagesobject detectioninstance segmentationannotated imagesroad infrastructurePeruInfrastructure Maintenance and MonitoringAdvanced Neural Network ApplicationsIndustrial Vision Systems and Defect DetectionThe test dataset contains 1,245 road images from Peru, including diverse road, lighting, and environmental conditions. It includes annotated pothole instances for object detection and instance segmentation, enabling an objective evaluation of the model’s ability to accurately detect and segment potholes in previously unseen images.Otherhttps://doi.org/10.5281/zenodo.23028709W7214768490esZenodo (CERN European Organization for Nuclear Research)2026-09-29 |
| spellingShingle | potholes road damage detection road images object detection instance segmentation annotated images road infrastructure Peru Infrastructure Maintenance and Monitoring Advanced Neural Network Applications Industrial Vision Systems and Defect Detection Benavidez Yzquierdo Sanchez potholes país de Perú 2026 - test |
| title | potholes país de Perú 2026 - test |
| title_full | potholes país de Perú 2026 - test |
| title_fullStr | potholes país de Perú 2026 - test |
| title_full_unstemmed | potholes país de Perú 2026 - test |
| title_short | potholes país de Perú 2026 - test |
| title_sort | potholes pais de peru 2026 test |
| topic | potholes road damage detection road images object detection instance segmentation annotated images road infrastructure Peru Infrastructure Maintenance and Monitoring Advanced Neural Network Applications Industrial Vision Systems and Defect Detection |
| topic_facet | potholes road damage detection road images object detection instance segmentation annotated images road infrastructure Peru Infrastructure Maintenance and Monitoring Advanced Neural Network Applications Industrial Vision Systems and Defect Detection |
| url | https://doi.org/10.5281/zenodo.23028709 |
| work_keys_str_mv | AT benavidezyzquierdosanchez potholespaisdeperu2026test |