Update README.md

README.md

@@ -44,3 +44,50 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+# Skin Lesions Dataset
+A dataset for 14 types of skin lesions classification consisted of merging [HAM10000(2019)](https://www.kaggle.com/datasets/andrewmvd/isic-2019) and [MSLDv2.0](https://www.kaggle.com/datasets/joydippaul/mpox-skin-lesion-dataset-version-20-msld-v20)
+
+The dataset consisted of 14 categories:
+- Actinic keratoses
+- Basal cell carcinoma
+- Benign keratosis-like-lesions
+- Chickenpox
+- Cowpox
+- Dermatofibroma
+- Healthy
+- HFMD
+- Measles
+- Melanocytic nevi
+- Melanoma
+- Monkeypox
+- Squamous cell carcinoma
+- Vascular lesions
+
+## Download the dataset locally
+Follow [Kaggle API guide](https://www.kaggle.com/docs/api) to get started
+```bash
+kaggle datasets download -d ahmedxc4/skin-ds
+```
+
+
+Citation for the original datasets
+
+### MSLDv2.0
+```
+@article{Nafisa2023,
+title={A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity},
+author={Ali, Shams Nafisa and Ahmed, Md. Tazuddin and Jahan, Tasnim and Paul, Joydip and Sani, S. M. Sakeef and Noor, Nawshaba and Asma, Anzirun Nahar and Hasan, Taufiq},
+journal={arXiv preprint arXiv:2306.14169},
+year={2023}
+}
+```
+
+### HAM10000 (2019)
+```
+BCN_20000 Dataset: (c) Department of Dermatology, Hospital Clínic de Barcelona
+
+HAM10000 Dataset: (c) by ViDIR Group, Department of Dermatology, Medical University of Vienna; https://doi.org/10.1038/sdata.2018.161
+
+MSK Dataset: (c) Anonymous; https://arxiv.org/abs/1710.05006; https://arxiv.org/abs/1902.03368
+```