woods Instance Segmentation Dataset and Pre-Trained Model by cnai

Images

399 images

Explore Dataset

Here are a few use cases for this project:

Timber Quality Analysis: A business related to the timber industry could use the model to identify and classify different types of wood, helping to ensure high-quality wood selection for their products.
Forest Management: Forest conservation organizations could use the woods model to analyze satellite imagery, helping to identify particular tree species in a large forest area or to monitor illegal logging activities.
Educational Applications: The model could be used in an educational platform for those studying forestry or ecology, providing practical identification and classification exercises.
Recycling & Waste Management: Recycling companies could use the model to differentiate wooden waste from other materials in waste sorting facilities.
Retail Furniture: The model could be useful in a furniture retailing scenario to assist customers in identifying and understanding different types of wood used in furniture, thereby helping them in making informed buying decisions.

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{
                            woods-mwuxr_dataset,
                            title = { woods Dataset },
                            type = { Open Source Dataset },
                            author = { cnai },
                            howpublished = { \url{ https://universe.roboflow.com/cnai-dmf7i/woods-mwuxr } },
                            url = { https://universe.roboflow.com/cnai-dmf7i/woods-mwuxr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-27 },
                            }