Roboflow Universe Omar Sameh Motor Belts

Motor Belts Computer Vision Project

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A development of an advanced object detection model based on YOLOv8 architecture to accurately identify serpentine or alternator belts within images and subsequently classify their condition as either optimal or suboptimal. This model aims to leverage state-of-the-art deep learning techniques to address the critical need for automated belt inspection in industrial settings, enhancing efficiency, and reducing maintenance costs

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YOLOv8

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Cite This Project

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

@misc{
                            motor-belts_dataset,
                            title = { Motor Belts Dataset },
                            type = { Open Source Dataset },
                            author = { Omar Sameh },
                            howpublished = { \url{ https://universe.roboflow.com/omar-sameh-j33nv/motor-belts } },
                            url = { https://universe.roboflow.com/omar-sameh-j33nv/motor-belts },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-05-15 },
                            }