SHPON Object Detection Dataset and Pre-Trained Model by 111

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Explore Dataset

Here are a few use cases for this project:

Construction Industry - Automate the process of detection and quality control of plywood in construction sites by recognizing plywood with holes, ensuring improved structural integrity of buildings and reducing expensive repairs.
Woodworking & Carpentry - Assist woodworkers and carpenters in analyzing materials by identifying useable plywood from the SHPON classes, helping them to efficiently sort and select the right materials for their projects.
Manufacturing - Enhance inventory management systems by automatically detecting and sorting plywood stocks based on their SHPON class, allowing for seamless tracking of materials and efficient distribution in the manufacturing field.
Recycling & Waste Management - Streamline the procedures involved in recycling, reusing, or disposing of plywood by automatically identifying its SHPON class, helping waste management facilities optimize resources and reduce environmental impact.
Home Improvement - Guide DIY enthusiasts and homeowners in selecting appropriate materials for their projects by providing real-time insights and recommendations, based on the SHPON classes recognized in their available plywood stocks.

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{
                            shpon_dataset,
                            title = { SHPON Dataset },
                            type = { Open Source Dataset },
                            author = { 111 },
                            howpublished = { \url{ https://universe.roboflow.com/111-881m1/shpon } },
                            url = { https://universe.roboflow.com/111-881m1/shpon },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-04-27 },
                            }