THEODORE is a large-scale indoor dataset containing 100,000 high-resolution and diverse fisheye images from 14 categories. The dataset creates 3D virtual environments of living rooms, different characters, and interior textures. In addition to capturing fisheye images from virtual environments, the dataset also creates annotations for semantic segmentation, instance masks, and bounding boxes for object detection tasks.