anomaly-detection Computer Vision Project

disrupt

Updated a year ago

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Classes (12)
cutpick
doublecone
doublend
fdp
float
misspick
opencrack
shortend
singlecone
startingmark
templecut
wrongdrawing

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CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            anomaly-detection-lmlpj_dataset,
                            title = { anomaly-detection Dataset },
                            type = { Open Source Dataset },
                            author = { disrupt },
                            howpublished = { \url{ https://universe.roboflow.com/disrupt-qnrcy/anomaly-detection-lmlpj } },
                            url = { https://universe.roboflow.com/disrupt-qnrcy/anomaly-detection-lmlpj },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-11-21 },
                            }