additive-manufacturing
Errors_Additive_Manufacturing_Plattform_Cam
Errors_Additive_Manufacturing_Plattform_Cam
3D Printing Nozzle Camera – YOLO Object Detection Dataset
This Repository is part of the Project: Künstliche Intelligenz zur Automatiserten Fehlerkorrektur in der Additiven Fertigung(Förderkennzeichen: 16IS23050B).
This dataset contains images captured from a camera positioned to capture the whole plattform of a 3D printer.
The task is object detection of both regular print elements and typical printing defects.
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/DasKunststoffZentrumSKZ/Errors_Additive_Manufacturing_Plattform_Cam.Additive-Manufacturing-Benchmark
Additive Manufacturing Benchmark
A benchmark dataset for evaluating knowledge of additive manufacturing (AM) processes, derived from graduate-level coursework at Carnegie Mellon University.
Configurations
general_knowledge_multiple_choice
Multiple-choice questions covering various AM processes with explanations.
Column
Description
source
Source homework assignment (e.g. cmu_24_633_2023/homework_1_exone)
process
AM process type (e.g. Binder Jet… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/Additive-Manufacturing-Benchmark.Errors_Additive_Manufacturing_Nozzle_Cam
Errors_Additive_Manufacturing_Nozzle_Cam
3D Printing Nozzle Camera – YOLO Object Detection Dataset
This Repository is part of the Project: Künstliche Intelligenz zur Automatiserten Fehlerkorrektur in der Additiven Fertigung(Förderkennzeichen: 16IS23050B).
This dataset contains images captured from a camera positioned directly next to the nozzle of a 3D printer.
The task is object detection of both regular print elements and typical printing defects.
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/DasKunststoffZentrumSKZ/Errors_Additive_Manufacturing_Nozzle_Cam.Additive-Manufacturing-Self-Supervised-Learning-Coaxial-DED-Process-Zone-ImagingAdditive-Manufacturing-Digital-Twinadditive_manufacturing_questions-R1
