Datasets:
| license: cc-by-nc-2.0 | |
| task_categories: | |
| - object-detection | |
| size_categories: | |
| - 1K<n<10K | |
| # Locating and measuring marine aquaculture production with remote sensing: a computer vision approach in the French Mediterranean | |
| ## Sebastian Quaade, Andrea Vallebueno, Olivia D. N. Alcabes, Kit T. Rodolfa, Daniel E. Ho | |
| This is the data repository for the manuscript "Locating and measuring marine aquaculture production with remote sensing: a computer vision approach in the French Mediterranean." | |
| ### Overview | |
| To enable other researchers seeking to apply our method, we make available an object detection dataset (in YOLO format) | |
| comprising human-annotated finfish cage bounding boxes. | |
| The dataset comprises 286 images sourced from aerial imagery of the French Mediterranean that was derived | |
| from Institut national de l'information géographique et forestière's (IGN) [BD Ortho](https://geoservices.ign.fr/bdortho) series. | |
| The dataset contains 4,142 finfish cage bounding boxes. The dataset comprises two classes: circular cages (567 labels) and | |
| square cages (3,575 labels). | |
| ### Data description | |
| * _images/_ | |
| Includes the 286 images as .jpeg files | |
| * _labels/_ | |
| Includes the labels for each image in YOLO format, including the following classes: circular cages (class 0) and square cages (class 1) | |
| ### Citation (TBD) | |
| ``` | |
| @article{citation_key, | |
| author = {Author Name}, | |
| title = {Article Title}, | |
| journal = {Journal Name}, | |
| year = {Year}, | |
| volume = {Volume}, | |
| number = {Number}, | |
| pages = {Pages}, | |
| doi = {DOI} | |
| } | |
| ``` | |
| ### References | |
| Institut national de l’information géographique et forestière, BD704 ORTHO, version 2.0, République Française Géoservices (2023); https://geoservices.ign.fr/documentation/donnees/ortho/bdortho. |