wpndts_3js_hmr Computer Vision Project

WPNv3 H4mm3r2

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Description

Here are a few use cases for this project:

  1. Carpenter Tool Recognition: The model can be used within an application to help carpenters or students learning woodworking identify different types of hammers and their purposes.

  2. Retail Inventory Management: The model can be leveraged to monitor stock levels in hardware stores, helping retailers track the quantity and location of different types of hammers sold in-store in real-time.

  3. Construction Safety Application: The model can be applied in a construction site monitoring system to ensure workers use the right tool for the job and flag improper hammer usage that could lead to potential safety hazards.

  4. Automated Cataloging: Companies selling hardware tools online can use the model to automatically categorize and label their hammer products based on images, improving product search accuracy and customer experience.

  5. EdTech Applications: The model can be included in educational software for teaching people about different types of tools, helping students to visually identify various types of hammers and understand their uses.

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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{
                            wpndts_3js_hmr_dataset,
                            title = { wpndts_3js_hmr Dataset },
                            type = { Open Source Dataset },
                            author = { WPNv3 H4mm3r2 },
                            howpublished = { \url{ https://universe.roboflow.com/wpnv3-h4mm3r2/wpndts_3js_hmr } },
                            url = { https://universe.roboflow.com/wpnv3-h4mm3r2/wpndts_3js_hmr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-12-18 },
                            }
                        
                    

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