A new dataset with 173 and 106 sign classes is introduced, enabling end-to-end cuneiform OCR. A DETR-based model achieves 28-37% improvement over prior work on COCO-style metrics, detecting nearly 2.9 million signs across 87,668 tablet fragments from the eBL corpus.