yolo_new Computer Vision Project
Here are a few use cases for this project:
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Industrial Inspection and Maintenance: The model can be used in industries and factories for routine inspections to identify potential issues like rust or deformation in machinery, thereby preventing costly breakdowns.
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Shipping and Logistics Surveillance: The model can be applied in the shipping and cargo industry to inspect containers for any signs of damage, ensuring the safety of the goods inside.
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Automotive Industry: In automotive manufacturing, the model can be used to catch any defects such as rust or deformation in car parts during the manufacturing process, leading to a higher standard of quality control.
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Construction Industry: The model can help in identifying structural issues in buildings and other infrastructural projects at an early stage, ensuring safety standards are maintained.
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Aerospace Industry: In aircraft maintenance and safety inspections, the model can be crucial in identifying signs of rust or deformations on aircraft parts, ensuring necessary repairs are carried out.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
yolo_new-0uxlr_dataset,
title = { yolo_new Dataset },
type = { Open Source Dataset },
author = { xiaoyan liu },
howpublished = { \url{ https://universe.roboflow.com/xiaoyan-liu-j4jhw/yolo_new-0uxlr } },
url = { https://universe.roboflow.com/xiaoyan-liu-j4jhw/yolo_new-0uxlr },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2024-03-28 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the yolo_new project in your project.