Underwater images collected by Scuba diving in La-Saline, Réunion - 2015-08-07

This dataset was collected by Scuba diving in La-Saline, Réunion - 2015-08-07.

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8月7日在留尼汪岛拉萨利讷（La-Saline）通过水肺潜水采集。

科学家或公众采集的水下与航拍图像，具备广泛的科学研究、资源管理与生态保护应用场景。此类图像可经标注后共享，用于训练人工智能（Artificial Intelligence）模型，进而实现图像内目标物体的识别与预测。

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/栖息地识别预测，并生成相关专题地图。

本数据集为Hyscores项目期间，在留尼汪岛通过水肺潜水采集的水下图像。如需了解更多细节，请访问Hyscores项目官方页面。

通用文件夹命名与结构规范：
YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number
├── DCIM：用于存储采集所得各类视频与照片的文件夹。
├── GPS：用于存储各类位置相关文件的文件夹。若可对文件进行位置校正（例如基于RINEX数据开展后处理运动学（Post-Processed Kinematic）校正），则需区分基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：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：存储本次采集任务通用信息文件的文件夹。
├── PROCESSED_DATA：用于存储当前任务数据处理结果的各类子文件夹。
│ ├── BATHY：用于存储从任务日志中提取的水深测量原始数据的输出文件夹。
│ ├── 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文件夹。
│ ├── IA：用于存储图像识别预测结果的目标文件夹。
│ └── PHOTOGRAMMETRY：用于存储摄影测量重建模型的目标文件夹。
└── SENSORS：用于存储其他来源文件的文件夹（例如回声测深仪获取的水深数据、自动驾驶仪日志文件、任务规划文件等）。

软件相关说明：
所有原始数据均通过我们的工作流完成处理，所有预测结果均由我们的推理流水线生成。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开展研究顺利！