MAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L.
Abstract Recent advancements in computer vision and deep learning have advanced automated vegetation monitoring, creating new opportunities for invasive species management. To this end, we introduce MAVSD (Multi-Angle View Segmentation Dataset), specifically designed for detecting Solidago canadensi...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05199-y |
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| _version_ | 1849731931820785664 |
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| author | Hanru Li Tianning Fu Hongchi Hao Zhibin Yu |
| author_facet | Hanru Li Tianning Fu Hongchi Hao Zhibin Yu |
| author_sort | Hanru Li |
| collection | DOAJ |
| description | Abstract Recent advancements in computer vision and deep learning have advanced automated vegetation monitoring, creating new opportunities for invasive species management. To this end, we introduce MAVSD (Multi-Angle View Segmentation Dataset), specifically designed for detecting Solidago canadensis L., a globally significant invasive plant. The dataset comprises high-resolution images captured by unmanned aerial vehicles from four angles (30°, 45°, 60°, and 90°), providing comprehensive coverage of plant structures and enabling in-depth understanding from multiple perspectives. MAVSD includes pixel-level semantic segmentation annotations across 13 classes, meticulously categorizing vegetation and environmental elements. Extensive experiments with state-of-the-art segmentation models validate MAVSD’s effectiveness in enhancing invasive species detection and monitoring, with multi-angle training improving mIoU by up to 11% over single-angle baselines. The dataset’s multi-angle, high-resolution characteristics strengthen ecological monitoring capabilities, offering valuable resources for research and environmental protection applications. |
| format | Article |
| id | doaj-art-3a7eb0ea3084494d840fa6779ef5b7ad |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-3a7eb0ea3084494d840fa6779ef5b7ad2025-08-20T03:08:22ZengNature PortfolioScientific Data2052-44632025-05-0112111510.1038/s41597-025-05199-yMAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L.Hanru Li0Tianning Fu1Hongchi Hao2Zhibin Yu3College of Electronic Engineering, Ocean University of ChinaCollege of Electronic Engineering, Ocean University of ChinaCollege of Electronic Engineering, Ocean University of ChinaCollege of Electronic Engineering, Ocean University of ChinaAbstract Recent advancements in computer vision and deep learning have advanced automated vegetation monitoring, creating new opportunities for invasive species management. To this end, we introduce MAVSD (Multi-Angle View Segmentation Dataset), specifically designed for detecting Solidago canadensis L., a globally significant invasive plant. The dataset comprises high-resolution images captured by unmanned aerial vehicles from four angles (30°, 45°, 60°, and 90°), providing comprehensive coverage of plant structures and enabling in-depth understanding from multiple perspectives. MAVSD includes pixel-level semantic segmentation annotations across 13 classes, meticulously categorizing vegetation and environmental elements. Extensive experiments with state-of-the-art segmentation models validate MAVSD’s effectiveness in enhancing invasive species detection and monitoring, with multi-angle training improving mIoU by up to 11% over single-angle baselines. The dataset’s multi-angle, high-resolution characteristics strengthen ecological monitoring capabilities, offering valuable resources for research and environmental protection applications.https://doi.org/10.1038/s41597-025-05199-y |
| spellingShingle | Hanru Li Tianning Fu Hongchi Hao Zhibin Yu MAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L. Scientific Data |
| title | MAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L. |
| title_full | MAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L. |
| title_fullStr | MAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L. |
| title_full_unstemmed | MAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L. |
| title_short | MAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L. |
| title_sort | mavsd a multi angle view segmentation dataset for detection of solidago canadensis l |
| url | https://doi.org/10.1038/s41597-025-05199-y |
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