[AY 24-25] Application of Computer Vision for managing archaeological Legacy Data

As part of its teaching offer for the 2024-2025 academic year, LAD is organising a teaching lab on the application of computer vision methods for the management and enhancement of archaeological legacy data.

The goal is to provide the theoretical and practical foundations for using annotation tools and Artificial Intelligence models for the automated analysis of ceramic materials. During the lab, students will learn to use LabelMe to create annotations on archaeological images, and then to train a YOLO model for the automatic segmentation and classification of ceramic fragments.

The lab will provide practical skills in:

• Introduction to the world of AI and its applications in archaeology;
• Principles of archaeological image annotation with LabelMe;
• Creating and managing datasets for training deep learning models;
• Training a YOLO model for automatic segmentation and classification;
• Evaluating model performance and applying it to legacy data datasets.

This approach makes it possible to automate and speed up the documentation and analysis of archaeological materials, supporting new forms of digital management of legacy data and improving the accessibility and use of information. It also provides all the tools needed to master these techniques and apply them independently within one’s own field of research.

The lab will be held in person at Sapienza Università di Roma, in the LAD lab, on the third floor of the Faculty of Letters and Philosophy building (CU003), combined with independent work.

Coordinators:

• Julian Bogdani (julian.bogdani@uniroma1.it)
• Lorenzo Cardarelli (lorenzo.cardarelli@uniroma1.it)

Registration

To register, you need to fill in the Google Form, available at the following address, by Sunday 16 March 2025: https://forms.gle/tJE2aR6j721CSL1G7.

Should any complications arise, it is essential to notify us at lorenzo.cardarelli@uniroma1.it.

Participation in the lab activities will be limited to a maximum of 15 participants.

Eligibility

The lab is open to bachelor’s and master’s students interested in exploring computing aspects or the automation of data management in greater depth.

Additional information

Lab activities will be carried out using participants’ own devices, so it is necessary to bring your own computer.

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