Concrete printing defects dataset for quality process monitoring using computer vision

The dataset contains images of concrete printing process monitoring camera. The dataset images are completed by the annotations dedicated to the detection of defects and anomalies that can be used in the close-loop control as feedback to an automated quality assessment system. It could stem from a rule-based expert system, vector-to-action dictionaries, supervised machine learning models, etc.