A semantic segmentation dataset for breast cancer pathology images, re-hosted on Hugging Face for easier access. The dataset is licensed under CC0 1.0 Universal, allowing redistribution. It was last updated on Hugging Face on 2025-09-27.
Use Cases
- Train semantic segmentation models based on annotated breast cancer pathology images.
- Benchmark model performance for cancer tissue classification tasks.
- Develop tools for automated pathology slide analysis based on pixel-level annotations.
Strengths
- Licensed under CC0 1.0 Universal, allowing for redistribution and commercial use.
- Mirrored on Hugging Face, which facilitates direct download to local environments.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Original Breast Cancer Semantic Segmentation (BCSS) dataset authors.
- Freshness
- Last updated 2025-09-27 01:54:14; freshness should be verified.