Underwater images collected by an Underwater Vision Census in Toliara, Madagascar - 2024-01-18

This dataset was collected by an Underwater Vision Census in Toliara, Madagascar - 2024-01-18. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. Survey information Camera: OLYMPUS CORPORATION TG-6 Number of images: 283 Total size: 0.75 Gb Mission start: 2024:01:18 07:49:23 Mission end: 2024:01:18 08:18:44 Mission duration: 0h 29min 21sec Total distance: 352 m GPS information: Surveys were conducted during low spring tides on reef areas less than 20 meters deep. A GPS device, kept in a floating waterproof bag at the surface, recorded a position every 2 seconds while following the diver's path. One diver took a benthic photo every 5 meters using a compass for direction, while a second diver guided the GPS bag from the surface. Image positions were interpolated with GPS data through time synchronization, using the timestamps embedded in the image metadata. Details of the acquisition method can be found in this paper. Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── CPCE_ANNOTATION : All cpc files annotations made with the CPCe software. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. Software All the raw data was processed using our worflow. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!本数据集由马达加斯加图利亚拉的水下视觉普查团队于2024年1月18日采集。 科研人员与公众拍摄的水下及航空图像可广泛应用于科学研究、资源管理与生态保护领域。此类图像经标注后可共享，用于训练人工智能（AI）模型，以实现图像内目标物体的自动识别。我们提供一套涵盖硬件与软件的工具集，可用于海洋数据采集、物种与生境识别及地图生成。 调查信息 相机：奥林巴斯（OLYMPUS CORPORATION）TG-6 图像总数：283张 总数据量：0.75 GB 任务开始时间：2024:01:18 07:49:23 任务结束时间：2024:01:18 08:18:44 任务持续时长：0小时29分21秒 总行进距离：352米 GPS定位信息： 本次调查于春汛大潮低潮期在水深不足20米的礁区开展。科研人员将GPS设备置于水面的漂浮防水袋中，每隔2秒记录一次位置，同步追踪潜水员的行进路径。一名潜水员借助罗盘定向，每行进5米拍摄一张底栖生物照片，另一名潜水员则在水面操控GPS定位袋。通过图像元数据内嵌的时间戳，结合GPS数据对图像拍摄位置进行时间同步插值补全。本次数据采集方法的详细细节可参阅相关论文。 通用文件夹架构 YYYYMMDD_COUNTRYCODE-可选地点_设备_会话-编号 ├── DCIM：用于存储采集到的视频与照片的文件夹。 ├── GPS：用于存储各类定位相关文件的文件夹。若可对文件进行校正（例如基于RINEX数据的后处理运动学校正），则需区分基准站数据与设备端数据；若仅存在设备端位置数据且无法通过后处理技术校正（例如GPX文件），则无需区分基准站与设备端数据，直接将文件置于GPS文件夹根目录下。 │ ├── BASE：来自RTK基站或静态定位仪器的文件。 │ └── DEVICE：来自采集设备的文件。 ├── METADATA：存储本次会话通用信息文件的文件夹。 ├── PROCESSED_DATA：包含存储当前会话数据处理结果所需的全部子文件夹。 │ ├── CPCE_ANNOTATION：使用CPCe软件生成的全部CPC格式标注文件。 │ ├── IA：图像识别预测结果的目标存储文件夹。 │ └── PHOTOGRAMMETRY：摄影测量重建模型的目标存储文件夹。 软件工具 所有原始数据均通过我们的工作流完成处理。您可在本仓库中获取下载该数据集所需的全部脚本。祝您使用SeatizenDOI提供的数据集顺利开展研究！