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README.md

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+# Coral health classification dataset
+
+This dataset is a combination of three coral image datasets:
+* Bleached and unbleached dataset (BU) by Jamil et al. [1]
+* Bleached, healthy and dead dataset (BHD) by Jamil et al. [1]
+* Dead subset of the EILAT dataset [2]
+
+The labels of each image and source dataset is included in the filename i.e. "label_dataset_ID.png".
+
+## More info about the dataset:
+* Number of images: 1599
+* Number of classes: 3 (healthy, unhealthy, dead)
+  * Healthy
+    * Number of images: 661
+      * 124 from BU
+      * 537 from BHD
+  * Unhealthy (bleached)
+    * Number of images: 508
+      * 134 from BU
+      * 374 from BHD
+  * Dead
+    * Number of images: 430
+      * 150 from BHD
+      * 280 from EILAT
+
+---
+References
+
+[1] S. Jamil, M. Rahman, and A. Haider, “Bag of Features (BOF) based deep learning framework for bleached corals detection,” Big Data and Cognitive Computing, vol. 5, no. 4, p. 53, Oct. 2021, doi: 10.3390/bdcc5040053.
+
+[2] A. Shihavuddin, N. Gracias, R. García, A. C. R. Gleason, and B. Gintert, “Image-Based coral reef classification and thematic mapping”, Remote Sensing, vol. 5, no. 4, pp. 1809–1841, Apr. 2013, doi: 10.3390/rs5041809.