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</script>This dataset was collected by an Underwater Vision Census in Salary, Madagascar - 2021-09-04. 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: NIKON CORPORATION COOLPIX W300 Number of images: 167 Total size: 0.5 Gb Mission start: 2021:09:04 10:40:32 Mission end: 2021:09:04 11:01:12 Mission duration: 0h 20min 40sec Total distance: 406 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!
The project is co-financed by the Fondation pour les Generations Futures, the Western Indian Ocean Marine Sciences Association (WIOMSA), the Foundation for Future Generation (AETHER Fund) and the Laboratoire de Biologie des organismes marins et Biomimétisme (Université de Mons).
Ecology, Computer Vision, Coral Reef Habitat, Machine Learning, Remote Sensing, Deep Learning, Mapping, Underwater Vision Census, Artificial Intelligence, FOS: Biological sciences, Global Coral Reef Monitoring Network, Reef Ecosystem, GeoAI, Madagascar, Habitat Mapping, Coral Reef, Indian Ocean, UVC
Ecology, Computer Vision, Coral Reef Habitat, Machine Learning, Remote Sensing, Deep Learning, Mapping, Underwater Vision Census, Artificial Intelligence, FOS: Biological sciences, Global Coral Reef Monitoring Network, Reef Ecosystem, GeoAI, Madagascar, Habitat Mapping, Coral Reef, Indian Ocean, UVC
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