LogCounter Object Detection Dataset and Pre-Trained Model by Konstantin Volchenko

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Explore Dataset

Here are a few use cases for this project:

Forestry Management: Professionals in the forestry industry can use the LogCounter model to estimate the quantity of harvested logs efficiently, avoiding manual counting. This can help optimize the workflow and decision-making in terms of storage and distribution.
Sawmill Operations: The LogCounter model can be integrated into sawmill production lines to provide real-time counting of logs. This can enhance the operational efficiency and offer more precise control over the production process and inventory management.
Environmental Monitoring: By identifying and counting cut logs, this model can provide data for environmental research and monitoring. It helps agencies to maintain balance in the ecosystem by tracking logging activities, prevent overlogging, ensure sustainable practices, and to investigate deforestation.
Education and Research: The LogCounter can assist in teaching and researching forestry or environmental studies. This model can enable students and researchers to study and analyze timber quantities without hands-on fieldwork.
Supply Chain Management: LogCounter could form part of integrated solutions for businesses to automate log supply chain processes. The model could be used to automatically count and classify incoming raw timber materials reducing manual labour and potentially reducing errors.

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{
                            logcounter_dataset,
                            title = { LogCounter Dataset },
                            type = { Open Source Dataset },
                            author = { Konstantin Volchenko },
                            howpublished = { \url{ https://universe.roboflow.com/konstantin-volchenko-ynb0r/logcounter } },
                            url = { https://universe.roboflow.com/konstantin-volchenko-ynb0r/logcounter },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2024-04-27 },
                            }