Name: wood_detection_7C Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Here are a few use cases for this project:

Wood Quality Inspection: The model can be used in wood manufacturing industries to inspect the quality of wood. It can distinguish between various types of wood, potentially identifying defects or distinguishing between different wood grades based on grain structure, knots or holes.
DIY Home Improvement Apps: The computer vision model can be used in DIY apps to help users identify the type of wood they have at home (SJ, GB, HJ, LF, SP, KD, QK). This can guide them in choosing the right paints, stains, or tools for their home improvement projects.
Forest Conservation: The model can be used for identifying and classifying different species of trees in a forest based on the features of their wood. This can help in mapping out biodiversity and planning forest conservation strategies.
Timber Supply Chain Management: The model can be used in timber supply chain management for tracking and identifying types of wood. This can support ethical sourcing by helping to ensure that protected wood species are not being used illegally.
Furniture Manufacturing: Furniture manufacturers can use this model to correctly identify wood types, ensuring that appropriate materials are used to produce durable, high-quality furniture pieces. The wood board with holes can be used to identify the material of antique or vintage furniture for restoration purposes.

Cite This Project

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

@misc{
                            wood_detection_7c_dataset,
                            title = { wood_detection_7C Dataset },
                            type = { Open Source Dataset },
                            author = { wood detection },
                            howpublished = { \url{ https://universe.roboflow.com/wood-detection/wood_detection_7c } },
                            url = { https://universe.roboflow.com/wood-detection/wood_detection_7c },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-04-29 },
                            }