Underwater images collected by an Underwater Vision Census in Toliara, Madagascar - 2021-06-02

This dataset was collected by an Underwater Vision Census in Toliara, Madagascar - 2021-06-02.

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: Not enough information in metadata to get camera information.

Number of images: 172

Total size: 0.02 Gb

Mission start: 2021:06:02 06:04:18

Mission end: 2021:06:02 06:31:41

Mission duration: 0h 27min 23sec

Total distance: 8494 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项目于2021年6月2日采集。

科学家或普通公众拍摄的水下与航空摄影图像，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识别与预测。本套件提供软硬件工具集，可用于海洋数据采集、物种与生境识别，以及测绘制图。

调查详情
- 相机：元数据未包含足够信息以获取相机相关参数。
- 图像总数：172张
- 总数据量：0.02 GB
- 任务起始时间：2021:06:02 06:04:18
- 任务结束时间：2021:06:02 06:31:41
- 任务持续时长：0小时27分23秒
- 总行进距离：8494米

GPS定位信息
本次调查在春汛低潮期开展，作业区域为水深不足20米的珊瑚礁海域。调查期间，一台置于水面漂浮式防水收纳袋中的GPS设备，每2秒记录一次位置，以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；另一名潜水员在水面操控GPS设备收纳袋。通过图像元数据内嵌的时间戳进行时间同步，结合GPS数据对图像拍摄位置进行插值计算。具体采集方法细节可参阅相关学术论文。

通用文件夹结构与命名规则
命名格式：YYYYMMDD_COUNTRYCODE-[可选地点]_设备_会话编号
├── DCIM：用于存储采集到的各类多媒体文件（视频与照片）的目录。
├── GPS：用于存储所有定位相关文件的目录。若可对文件进行定位校正（例如基于星历数据的后处理运动学校正），则需区分基准站数据与设备采集数据；若仅存在设备定位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数据，直接将文件置于GPS目录根目录下。
│ ├── BASE：来自RTK基站或其他静态定位仪器的文件。
│ └── DEVICE：来自采集设备的文件。
├── METADATA：存储本次任务通用信息文件的目录。
├── PROCESSED_DATA：存储当前会话数据处理结果所需的各级目录。
│ ├── CPCE_ANNOTATION：使用CPCe软件制作的所有CPC格式标注文件。
│ ├── IA：图像识别预测结果的存储目录。
│ └── PHOTOGRAMMETRY：摄影测量重建模型的存储目录。

软件说明
所有原始数据均通过本团队的标准化工作流完成处理。您可在本代码仓库中获取下载该数据集所需的全部脚本文件。祝您使用SeatizenDOI开展研究顺利！