YOLO11-EMME v2.0: A 10,000-image Eye-Tracking Dataset for Archaeology, Ophthalmology and HCI

This dataset provides high-resolution eye-tracking images with iris–pupil annotations and pilot gaze metadata (n=3). It includes split files for training/validation under varied lighting/occlusion conditions. Reproducible code and figures correspond to the linked GitHub repository. • Format: YOLO (class_id x_center y_center width height), normalized [0,1]• Classes: iris (0), pupil (1)• Folder structure: images/{train,val}, labels/{train,val}, sample_images/• Reproduction: pip install -r requirements.txt python run_inference.py --weights results/weights/best.pt \ --source datasets/sample_images --imgsz 640 --save• Outputs: runs/predict*/• Files included: results/figures/*.png, datasets/participants.csv, README_DATASET.md, results_summary.csv, best.pt• License: License: CC BY 4.0• FAIR: public access, versioned DOI, code on GitHub