Dissertacao_dataset_rgb_grande_sem_folhagem

Instance Segmentation

Dissertacao_dataset_rgb_grande_sem_folhagem Computer Vision Project

VC

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Description

Here are a few use cases for this project:

  1. Forestry Management: This model could be used in forest management to automatically detect and classify different types of logs, facilitating faster, more efficient inventory and monitoring tasks.

  2. Sawmill Automation: The model could be integrated into sawmill operations to automate the process of sorting and measuring logs, thus reducing manual labor and increasing the accuracy of measurements.

  3. Environmental Research: Researchers studying deforestation rates and logging practices could utilize this model to automatically identify logs in satellite or drone images, providing valuable data for their studies.

  4. Smart Farming: In agroforestry, this model could be employed to identify and analyze the size and type of logs, aiding in farm management and planning.

  5. Construction Planning: For construction projects using logs, this model could be used to optimize the use of available resources by accurately identifying and sorting different log classes.

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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{
                            dissertacao_dataset_rgb_grande_sem_folhagem_dataset,
                            title = { Dissertacao_dataset_rgb_grande_sem_folhagem Dataset },
                            type = { Open Source Dataset },
                            author = { VC },
                            howpublished = { \url{ https://universe.roboflow.com/vc-vc7t5/dissertacao_dataset_rgb_grande_sem_folhagem } },
                            url = { https://universe.roboflow.com/vc-vc7t5/dissertacao_dataset_rgb_grande_sem_folhagem },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-11-12 },
                            }