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README.md

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+---
+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.