skin-lesion-classification with 97.8% accuracy

Classification

skin-lesion-classification with 97.8% accuracy Computer Vision Project

skinDiseaseDetection

Updated 5 months ago

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Classes (8)
Actinic Keratosis
Atopic Dermatitis
Benign Keratosis
Dermatofibroma
Melanoma
Squamous Cell Carcinoma
Tinea Ringworm Candidiasis
Vascular Lesion

Metrics

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Description

Skin Disease Classification Dataset used here consists of image files with associated csv file splited into train,val and test. Accuracy obtained- 97.8%

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LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            skin-lesion-classification-with-97.8-accuracy_dataset,
                            title = { skin-lesion-classification with 97.8% accuracy Dataset },
                            type = { Open Source Dataset },
                            author = { skinDiseaseDetection },
                            howpublished = { \url{ https://universe.roboflow.com/skindiseasedetection-d7mln/skin-lesion-classification-with-97.8-accuracy } },
                            url = { https://universe.roboflow.com/skindiseasedetection-d7mln/skin-lesion-classification-with-97.8-accuracy },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-09-22 },
                            }
                        
                    

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