Best practices for the application of computer vision-based machine learning in archaeology

• Defines seven best practices for CV-based ML in archaeology. • Links sources, preprocessing, training, post-treatment and validation. • Shows how to reduce false positives in low-density survey settings. • Integrates explainability, cross-validation and ethical responsibility. • Promotes reproducible, FAIR and archaeologically informed AI workflows.