Visual and Lesion Descriptor: ISIC 2018 Dataset Features

Jamal Shah published a dataset on figshare in May 2026. It is a 5.1 MB CSV file derived from the ISIC 2018 dataset, intended for academic and non-commercial research. The specific row count and column details are not provided.

Use Cases

• Train machine learning models for skin lesion classification based on visual descriptors.
• Benchmark computer vision algorithms on standardized medical imaging data.
• Conduct academic research on dermatological conditions using a publicly available dataset.

Strengths

• Dataset size is 5.1 MB, indicating a manageable download.
• License is clearly stated as CC-BY-4.0, allowing for broad reuse with attribution.
• Derived from the publicly available and well-known ISIC 2018 dataset.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

ISIC 2018 dataset

Freshness

Last updated 2026-05-18 08:20:53; freshness should be verified.