Archaeological Artifact

Archaeological artifact analysis is undergoing a transformation driven by advancements in computer vision and machine learning. Current research focuses on developing automated methods for artifact detection, classification, and 3D reconstruction using techniques like deep learning semantic segmentation, object detection neural networks, and novel registration algorithms for processing LiDAR data and microscopic images. These efforts aim to improve the efficiency and accuracy of archaeological data processing, enabling large-scale analysis of heterogeneous datasets and facilitating more comprehensive understanding of past cultures. The resulting advancements promise to significantly enhance the speed and accuracy of archaeological research and documentation.