Training school programme

ImportantPre-school survey

If you are among selected participants, please fill in a pre-school survey here.

The programme is organised by topics and dataset types. Each topic builds on the previous one, guiding participants from foundational skills to advanced applications of computer vision in archaeology.

Programme

Final programme

Monday

Kick-off & Python for CV

Morning

  • Kick-off, practicalities, and motivations
  • Introduction to the workshop structure
  • Introduction co computer vision and questions computer vision can answer
  • Setting up the technical environment (Google Colab and tools)

Afternoon

  • Coding with agents
  • Python fundamentals for computer vision tasks

Evening

  • Ice-breaker event

Tuesday

Morning

Artefacts Dataset

  • Image datasets and annotation – theory & practice
  • Datasets, licensing, controlled vocabularies, and annotation challenges

Afternoon

  • Presentations of participants’ projects and datasets?

    Do you want to showcase anything? Present what you work on? Use this opportunity to showcase what you do and discuss the problems you encounter! We will discuss and try to find solutions together…

Wednesday

Microscopy Dataset

Morning

  • Data standardization (brightness, contrast, size, RGB/grayscale) and image pre-processing
  • Data pre-processing and augmentation
  • OpenCV: detection masks and data augmentation

Afternoon

  • Practical part: data standardization and augmentation

Thursday

Morning

Satellite Imagery

  • Satellite imagery and remote sensing in theory and analysis
  • Object detection on satellite images

Afternoon

Rock Art dataset

Friday

Morning

Coins Dataset

  • Advanced topics illustrated on coins dataset and combining methods
  • LLMs and vision-language models
  • Bias, reproducibility, black-box models, attention maps, and causation–correlation problems

Afternoon

  • Closing and discussion

Case Studies

Throughout the school, participants will work with four real-world archaeological datasets:

  • Artefact types: classification and detection of archaeological artefacts from photographs
  • Microscopic use-wear analysis: identifying and classifying wear traces from microscopic images
  • Satellite imagery: remote sensing and object detection on satellite data
  • Rock art:
  • Coins: combining techniques on photographs and drawings of coins and exploring model interpretability

Social Events

  • Ice-breaker on the first evening (Monday)
  • Walking meeting on Tuesday evening, a short city tour of Brno
  • Social event on Wednesday evening