We are thankful to Dr. Raghvendra as well as KCDH for their efforts in curating the dataset as well as the problem statement for this General Championship.

#**Goal**


Submit automated predictions of disease classification within dermoscopic images.
Possible disease categories are:


1. [Melanoma (MEL)](https://dermoscopedia.org/Melanoma)
2. [Melanocytic nevus (NV)](https://dermoscopedia.org/Benign_Melanocytic_lesions)
3. [Basal cell carcinoma (BCC)](https://dermoscopedia.org/Basal_cell_carcinoma)
4. [Actinic keratosis / Bowen’s disease (intraepithelial carcinoma) (AKIEC)](https://dermoscopedia.org/Actinic_keratosis_/_Bowen%27s_disease_/_keratoacanthoma_/_squamous_cell_carcinoma)
5. [Benign keratosis (solar lentigo / seborrheic keratosis / lichen planus-like keratosis) (BKL)](https://dermoscopedia.org/Solar_lentigines_/_seborrheic_keratoses_/_lichen_planus-like_keratosis)
6. [Dermatofibroma (DF)](https://dermoscopedia.org/Dermatofibromas)
7. [Vascular lesion (VASC)](https://dermoscopedia.org/Vascular_lesions)


#**Getting Started**

Please review the detailed guidelines in the Data, Rules, and Evaluation sections. Download the provided dataset, develop your model, and submit your predictions before the competition deadline. We encourage open discussion and collaboration among participants on the competition's discussion forum.