easyscale Computer Vision Project

Deeplearn

Updated a year ago

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Description

Here are a few use cases for this project:

  1. Construction Site Management: "easyScale" can be used to identify and categorize different types of construction equipment, vehicles, and materials such as stone, sand, etc., in real-time. Useful for improving efficiency in material usage, gear allocation, and site planning.

  2. Vehicle Recognition Systems: Able to identify vehicles by brand such as 'Scania', 'Volvo', 'Hyundai', 'Daewoo', 'MAN', 'Benz', and 'Iveco', it could facilitate automated toll collection, traffic surveillance or parking management.

  3. Waste Management: The model can be used to automate sorting process in recycling plants, by identifying and categorizing different elements/materials (like 'troad', 'plate', 'cover', 'gplate').

  4. Industrial Automation: "easyScale" could be used in factory settings to identify and sort different parts or equipment on an assembly line, effectively automating quality checks and improving production efficiency.

  5. Augmented Reality Gaming: The ability to identify a diversity of elements can be utilized in AR gaming to enhance real-world interaction. For instance, players could interact with different 'easyscale' classes in games based on their real-world environment.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            easyscale_dataset,
                            title = { easyscale Dataset },
                            type = { Open Source Dataset },
                            author = { Deeplearn },
                            howpublished = { \url{ https://universe.roboflow.com/deeplearn-85b3j/easyscale } },
                            url = { https://universe.roboflow.com/deeplearn-85b3j/easyscale },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-11-21 },
                            }