YOLOv8 for RC2023 Computer Vision Project
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Here are a few use cases for this project:
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Automation in Manufacturing: The model can be used to recognize and classify different tools and components in a production line. Based on the types of objects identified, the system can automate the assembly process.
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Quality Control: The model could be used in quality control systems to check whether the correct objects have been used in the manufacturing process or whether an object is missing.
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Robotic Process Automation: In an environment where robots are used for tasks like assembling or repairing, the model can help the robot recognize and pick the correct tool or object for a given task.
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Consignment Sorting and Management: This project could be very helpful in a warehouse or delivery system. By being able to recognize these objects, the system could easily sort and manage the consignments.
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Training in Mechanical Fields: It can be used in mechanical education and training, to help students identify different tools and components related to mechanical studies.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
yolov8-for-rc2023_dataset,
title = { YOLOv8 for RC2023 Dataset },
type = { Open Source Dataset },
author = { RotatedBB2023 },
howpublished = { \url{ https://universe.roboflow.com/rotatedbb2023-14lnn/yolov8-for-rc2023 } },
url = { https://universe.roboflow.com/rotatedbb2023-14lnn/yolov8-for-rc2023 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-21 },
}