Underwater images collected by Scuba diving in La-Saline, Réunion - 2015-10-26

This dataset was collected by Scuba diving in La-Saline, Réunion - 2015-10-26.

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.

Underwater Images Collected by Scuba Diving in Réunion Island during the Hyscores Project.
For more details, visit the Hyscores Project.

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.
│ ├── BATHY : output folder for bathymetry raw data extracted from mission logs.
│ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos.
│ ├── IA : destination folder for image recognition predictions.
│ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry.
└── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.).

Software
All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!

本数据集于2015年10月26日在留尼汪岛拉萨利讷（La-Saline, Réunion）通过水肺潜水采集。

科学家及公众采集的水下与航空影像，可广泛应用于科学研究、资源管理与生态保护领域。经标注与共享后，此类影像可用于训练人工智能（AI）模型，以实现影像内目标的自动识别与预测。

本数据集提供一套包含硬件与软件在内的完整工具集，可用于海洋数据采集、物种或生境识别预测，并支持地图生成。

本数据集为留尼汪岛Hyscores项目期间通过水肺潜水采集的水下影像，如需了解更多项目细节，请访问Hyscores项目官方页面。

通用文件夹命名与结构
命名规则：YYYYMMDD_COUNTRYCODE-[可选地点]_device_session-number
├── DCIM：用于存储采集所得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。若可对文件进行定位校正（例如基于RINEX数据开展后处理运动学校正），则需区分基站数据与设备端数据；若仅存在设备端定位数据且无法通过后处理技术校正（例如GPX格式文件），则无需区分基站与设备数据，直接将文件置于GPS文件夹根目录下。
│ ├── BASE：存储来自RTK（实时动态差分）基站或其他静态定位仪器的文件。
│ └── DEVICE：存储来自采集设备的定位文件。
├── METADATA：存储本次采集任务通用信息文件的文件夹。
├── PROCESSED_DATA：用于存储本次采集任务数据处理结果的目录，包含以下子文件夹：
│ ├── BATHY：用于存储从任务日志中提取的测深原始数据的输出目录。
│ ├── FRAMES：用于存储从DCIM文件夹内视频中提取的地理参考帧的输出目录。
│ ├── IA：用于存储图像识别预测结果的目标目录。
│ └── PHOTOGRAMMETRY：用于存储摄影测量重建模型的目标目录。
└── SENSORS：用于存储其他来源文件的目录，例如回声测深仪获取的测深数据、自动驾驶仪生成的日志文件、任务规划文件等。

软件相关说明
本数据集所有原始数据均通过我们的标准化工作流进行处理，所有预测结果均由我们的推理管线生成。您可在本代码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！