skin-lesion-classification with 97.8% accuracy Computer Vision Project
skinDiseaseDetection
Updated 7 months ago
70
9
Tags
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 2024-11-21 },
}