Datasets › SKINL2
SKINL2 (Light Field Image Dataset of Skin Lesions)
The SKINL2 dataset comprises a total of 376 light fields acquired under similar conditions. The images were classified using eight categories, according to the type of skin lesion/ICD code:
Melanoma / C43
Melanocytic Nevus / D22
Basal Cell Carcinoma / D04
Seborrheic Keratosis / L82
Hemangioma / D18
Dermatofibroma / D23s
Psoriasis / L40
Other
S. M. M. de Faria et al., "Light Field Image Dataset of Skin Lesions," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 3905-3908. DOI: 10.1109/EMBC.2019.8856578
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
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Variants archive 2025-07-28
- SKINL2
1 variant name, as the archive lists them.
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