ML_Project_7 Computer Vision Project

iitm

Updated 2 years ago

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Classes (4)
Brick Rebar
Rebar_Heap
Rebar_Stack

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Description

Here are a few use cases for this project:

  1. Construction Site Safety and Management: The "ML_Project_7" model can be used to monitor construction sites to identify the placement and quantities of rebars and bricks. This can aid in keeping track of construction materials or identifying potential safety issues, such as excessive stacking or improper storage.

  2. Inventory Management: For businesses in the construction industry, this model can be employed to automate the process of inventory checks. It can identify and visually distinguish between rebars, heaps of rebars, stacks of rebars, and bricks, making the process more efficient and less prone to human error.

  3. Waste Management and Recycling Plants: The model can help identify these often-recyclable materials in waste management facilities or landfill sites. This use case helps in separating reusable resources for future construction purposes, promoting sustainability.

  4. Architectural Salvage: In architectural salvage operations, this model can be used to automatically identify valuable elements such as rebars and bricks from large quantities of scrap material.

  5. Pre-construction Planning: This model can be used in architectural and engineering software to detect and calculate the amount of rebar and bricks displayed in the project’s planning phase. This can help provide estimations and applicable use within the architectural model rendering.

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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{
                            ml_project_7_dataset,
                            title = { ML_Project_7 Dataset },
                            type = { Open Source Dataset },
                            author = { iitm },
                            howpublished = { \url{ https://universe.roboflow.com/iitm-hpmod/ml_project_7 } },
                            url = { https://universe.roboflow.com/iitm-hpmod/ml_project_7 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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