Plant detection dataset from Mapillary images in Guadeloupe

This dataset contains automated plant identification results derived from onboard vehicle (wardriving) camera data in Guadeloupe, using Mapillary imagery and the Pl@ntNet API for species recognition. This dataset contains results of automated queries to the Mapillary API for a large bounding box covering the main islands of Guadeloupe (Basse-Terre, Grande-Terre, Marie Galante). The bounding box coordinates were set to [-61.9, 15.9, -61.1, 16.6], and the queries were performed on 2025-02-12. Each returned Mapillary image was then sent to the Pl@ntNet API to attempt automatic identification of the plant visible in that image. The dataset is stored as a CSV file with one row per image. Below is a description of each column: image_id A unique identifier for the Mapillary image. lat Latitude of the image (WGS84). lon Longitude of the image (WGS84). capture_date Unix timestamp (in milliseconds) corresponding to the date/time the image was captured. image_url Direct link to the image resource as hosted on Mapillary associated CDN. best_match_scientific_name The top-ranked plant species name returned by Pl@ntNet. If the field is “Not Found,” it means the Pl@ntNet API did not return a valid species match (e.g., status code 404). best_match_probability Probability (score) associated with the best_match_scientific_name, as provided by Pl@ntNet. May be empty or zero when no valid species was found. plantnet_data A JSON string containing the full set of results from Pl@ntNet. Includes details such as predicted organs, alternative species suggestions, taxonomic information, and associated metadata. Data Collection Method The Mapillary API was queried systematically across the bounding box ([-61.9, 15.9, -61.1, 16.6]) on 2025-02-12, retrieving available images taken along roads or other traversable paths. For each image, the latitude, longitude, and capture date were extracted. Each image was then submitted to the Pl@ntNet API for plant identification. Only the best match (top-ranked species) and the associated probability are recorded in specific columns, while the entire Pl@ntNet response is stored under plantnet_data. Notes and Caveats Single-species assumption: Each image is labeled with at most one best match species. In reality, scenes may contain multiple plant taxa; however, for simplicity, this dataset focuses on the top match returned by Pl@ntNet. Full results are nevertheless stored in the plantnet_data column. Spatial bias: Data covers only roads and areas with Mapillary coverage at the time of querying. Temporal mismatch: The capture_date of each image can vary widely; it is not uniform across all images. This can introduce seasonal or inter-annual discrepancies in plant appearance. Accuracy: Automated identification may yield false positives or imprecise probabilities, especially if the plant is partially obscured, out of focus, or not a common species in Pl@ntNet’s training set. Licenses and usage: Mapillary imagery is subject to CC-BY-SA licence (see this page). Pl@ntNet usage data follows Pl@ntNet’s license and usage policy. Acknowledgments The Mapillary platform for providing access to street-level imagery and enabling community-based data collection. The Pl@ntNet team for making plant identification services available via API. This dataset is released for research and educational purposes. Users are encouraged to cite this deposit if it contributes to any publications or projects.本数据集包含来自瓜德罗普岛车载（道路巡航）摄像头数据的自动化植物识别结果，所用数据为Mapillary影像，并通过Pl@ntNet API进行物种识别。 本数据集包含针对覆盖瓜德罗普主岛（巴斯特尔岛、格兰德特尔岛、玛丽加兰特岛）的大型边界框的Mapillary API自动化查询结果。该边界框的坐标设置为[-61.9, 15.9, -61.1, 16.6]，查询于2025年2月12日执行。每一张返回的Mapillary影像随后都会被提交至Pl@ntNet API，以尝试自动识别该影像中的植物。 本数据集以逗号分隔值（CSV）文件形式存储，每张影像对应一行数据。以下为各列的详细说明： image_id：Mapillary影像的唯一标识符。 lat：影像的纬度（WGS84坐标系）。 lon：影像的经度（WGS84坐标系）。 capture_date：影像拍摄日期与时间对应的Unix时间戳（单位：毫秒）。 image_url：指向Mapillary关联内容分发网络（CDN）所托管影像资源的直接链接。 best_match_scientific_name：Pl@ntNet返回的排名第一的植物物种学名。若该字段为“未找到”，则表示Pl@ntNet API未返回有效的物种匹配结果（例如状态码404）。 best_match_probability：Pl@ntNet提供的与best_match_scientific_name相关联的概率得分。当未找到有效物种时，该字段可能为空或为零。 plantnet_data：包含Pl@ntNet完整返回结果的JSON字符串。其中涵盖预测器官、备选物种建议、分类学信息及相关元数据等详细内容。 数据采集流程：2025年2月12日，我们对边界框[-61.9, 15.9, -61.1, 16.6]范围内进行系统性的Mapillary API查询，获取沿道路或其他可通行路径拍摄的可用影像。随后提取每张影像的纬度、经度及拍摄日期。每张影像随后都会被提交至Pl@ntNet API进行植物识别。仅将最佳匹配（排名第一的物种）及其关联概率记录至对应列中，而Pl@ntNet的完整响应则存储于plantnet_data列下。 注意事项与局限性： 1. 单物种假设：每张影像仅标注最多一个最佳匹配物种。实际场景中可能包含多种植物类群，但为简化处理，本数据集仅关注Pl@ntNet返回的顶级匹配结果。不过完整的识别结果仍存储于plantnet_data列中。 2. 空间偏差：数据仅覆盖查询时Mapillary有影像覆盖的道路及区域。 3. 时间不匹配：每张影像的拍摄日期（capture_date）差异较大，并非统一分布，这可能会在植物外观上引入季节或年际差异。 4. 识别精度：自动化植物识别可能会产生假阳性结果或概率不准确的情况，尤其是当植物部分被遮挡、对焦模糊，或该物种并非Pl@ntNet训练集中的常见物种时。 许可与使用条款： Mapillary影像遵循知识共享署名-相同方式共享（CC-BY-SA）许可协议（详见对应页面）。 Pl@ntNet使用数据需遵循Pl@ntNet的许可及使用政策。 致谢 感谢Mapillary平台提供街景影像访问权限并支持社区化数据采集。 感谢Pl@ntNet团队通过API开放植物识别服务。 本数据集仅用于研究与教育目的。若该数据集对您的出版物或项目有所贡献，我们鼓励您引用本数据集存档。