INTELKAMAT: An Anonymised Cervical Colposcopy Image Dataset with Per-Patient Clinical Annotations from a Bulgarian Tertiary Centre

Background

Public colposcopy image datasets are scarce, geographically narrow, and rarely accompanied by structured clinical annotations. We present INTELKAMAT, an anonymised cervical colposcopy image dataset of 934 RGB JPEG images at 1280 × 960 pixels from 30 women examined at the Medical University Hospital of Pleven, Bulgaria (2022–2024).