license:cc size_categories:1K<n<10K format:imagefolder modality:image library:datasets library:mlcroissant region:us
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license: cc
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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

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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.