Errors Additive Manufacturing Nozzle Cam: 3D Printing Nozzle Images for Object Detection

A dataset from DasKunststoffZentrum SKZ contains images captured from a camera positioned directly next to the nozzle of a 3D printer. The images are intended for object detection of both regular print elements and typical printing defects. This repository is part of the project 'Künstliche Intelligenz zur Automatisierten Fehlerkorrektur in der Additiven Fertigung' (funding code: 16IS23050B).

Use Cases

• Training object detection models to identify printing defects based on nozzle-camera imagery.
• Developing automated error correction systems for 3D printers based on real-time visual feedback.
• Benchmarking computer vision algorithms for industrial quality assurance in additive manufacturing.

Strengths

• Images are captured from a unique, close-up perspective directly next to the 3D printer nozzle.
• The dataset is associated with a specific research project (funding code: 16IS23050B).

Limitations

• The dataset's size, row count, and specific file formats are unknown.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

DasKunststoffZentrumSKZ

Collection Method

Images captured from a camera positioned next to a 3D printer nozzle.

Freshness

Last updated 2026-02-23 15:22:27; freshness should be verified.