carbon rod Object Detection Dataset and Pre-Trained Model by project-yx4kw

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Explore Dataset

Here are a few use cases for this project:

Quality Control in Manufacturing: This model could be used to monitor and analyze carbon rods during their production process, ensuring that the products meet predefined standards and structural integrity.
Structural Engineering: Engineers could use the model to identify and classify types of carbon rods in construction projects or architectural models, aiding in the design and execution of robust structures.
Waste Management and Recycling: The model could assist in identifying and separating carbon rods from other materials in waste management facilities, leading to more efficient recycling processes.
Education and Research: The model could be used in academic settings for research and educational purposes, providing students with hands-on experience in identifying and classifying different types of carbon rods.
Supply Chain Management: Logistics and supply chain firms could use the model for inventory management, classifying and tracking carbon rods in their warehouses for efficient resource allocation and stock replenishment.

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{
                            carbon-rod_dataset,
                            title = { carbon rod Dataset },
                            type = { Open Source Dataset },
                            author = { project-yx4kw },
                            howpublished = { \url{ https://universe.roboflow.com/project-yx4kw/carbon-rod } },
                            url = { https://universe.roboflow.com/project-yx4kw/carbon-rod },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-04-27 },
                            }