Name: Cage Wheel Track Double v4 Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

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Explore Dataset

Here are a few use cases for this project:

Recycling Industry Applications: This model could be applied for classifying and sorting different types of waste materials including cage wheel tracks, aiding in recycling efforts.
Automated Warehousing: Businesses in the logistics and supply chain can use this model in their warehouse for identifying and sorting packages or equipment pieces, improving the process of inventory management.
Construction Site Management: It can be used to monitor construction sites, automatically detecting cage wheel track materials to ensure they are in the correct place and course identify if anything is misplaced, promoting safety, and efficiency.
Scrap Metal Identification: The model can be used by scrap metal businesses to identify cage wheel track materials specifically amidst a plethora of other materials, enabling quicker processing.
Infrastructure Maintenance: The model can be applied to inspect and monitor condition of roads, railways, or other infrastructures. It can identify if there are any unwanted objects or metal waste including cage wheel tracks.

Cite This Project

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

@misc{
                            cage-wheel-track-double-v4_dataset,
                            title = { Cage Wheel Track Double v4 Dataset },
                            type = { Open Source Dataset },
                            author = { Materials Detection },
                            howpublished = { \url{ https://universe.roboflow.com/materials-detection/cage-wheel-track-double-v4 } },
                            url = { https://universe.roboflow.com/materials-detection/cage-wheel-track-double-v4 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-05-02 },
                            }