Dissertacao_dataset_rgb_grande_com_folhagem Computer Vision Project

Here are a few use cases for this project:

1. Forest Management: This model could be used to monitor detailed logging activities in forests, allowing managers to make informed decisions about the health and sustainability of their forests. Searching for evidence of logging or incorrectly cut logs may be more accurate by using this model to identify logs within dense foliage.

2. Environmental Research: Scientists studying deforestation and its impacts on local ecosystems could utilize the model to identify logged areas amidst dense vegetation. This could help them understand the patterns and extent of logging activities in specific regions.

3. Timber Theft Detection: Law enforcement agencies and forest conservation groups could use this model to spot illegal logging activities, particularly in areas where densely grown plants make it difficult for human eyes to catch log traces effectively.

4. Forestry Education: This tool could be employed in academic settings as a teaching model to help students learn about different types of logs, their characteristics and their locations within a forest ecosystem when studying forest management or forestry courses.

5. Eco-Tourism: Companies developing eco-tourism applications or platforms could integrate this model to inform users about areas where logging activities have occurred, thus promoting awareness about sustainable tourism and environmental preservation.