kuwaaq/coral-health-classification

--- license: cc --- # 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.