3D Print Failure Detector Computer Vision Project
Updated a year ago
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This is a test project that I'm using to compare against another object detection project to determine which is more effective for identifying failures/errors in 3D prints. I ultimately would like to apply the most effective model to my live feed recordings so that I can be alerted if an error is detected so that I can remotely stop printing to prevent damage the the printer as well as other potential saftey issues.
The images I used for this project are a combination of my own as well as from other public projects. They can be found: https://www.repository.cam.ac.uk/items/6d77cd6d-8569-4bf4-9d5f-311ad2a49ac8/full https://www.kaggle.com/datasets/justin900429/3d-printer-defected-dataset
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
3d-print-failure-detector_dataset,
title = { 3D Print Failure Detector Dataset },
type = { Open Source Dataset },
author = { 3D Print Error Detection },
howpublished = { \url{ https://universe.roboflow.com/3d-print-error-detection/3d-print-failure-detector } },
url = { https://universe.roboflow.com/3d-print-error-detection/3d-print-failure-detector },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { dec },
note = { visited on 2024-11-24 },
}