To the best of our knowledge, no publicly available dataset exists for the segmentation of Langerhans cells (LCs) or stromal cells (SCs). To address this gap, we have extended the CORN dataset by introducing a new subset, CORN-4, specifically designed for segmentation tasks involving LCs and SCs. CORN-4 consists of 1,120 corneal confocal microscopy (CCM) images captured using the Heidelberg Retina Tomography System with the Rostock Cornea Module (HRT-III). The dataset includes 560 images featuring both corneal nerves and LCs, and another 560 images displaying corneal nerves and/or stromal cells. All images were acquired at a distance of 40-60 μm from the anterior surface of the central cornea, with a resolution of 384 × 384 pixels, covering an area of 400 × 400 μm. Manual annotation was carried out by an image analysis expert using the open-source software ITK-SNAP, and the labels were subsequently reviewed and corrected by a senior ophthalmologist.