ForestFire2023 Object Detection Dataset and Pre-Trained Model by Forest Fire

Images

299 images

Explore Dataset

Here are a few use cases for this project:

Forest Health Monitoring: This model can be leveraged by environmental agencies to regularly monitor the state of forests, identify early signs of beetle infestation or tree mortality, and possibly predict potential wildfire outbreaks.
Forest Management and Logging Industry: Businesses in the forestry sector may use this model to classify and record the condition of trees in a given area for better and sustainable harvesting practices by efficiently distinguishing healthy trees from dead ones or those affected by pests.
Ecological Research: Scientists and researchers can use this model in ecological studies, especially when studying the impacts of pests and diseases on tree populations or tracking forest recovery after a wildfire.
Wildfire Damage Assessment: Government agencies and insurers can utilize this model to estimate and map the extent of damage after a wildfire occurence. This can aid in efficient allocation of resources for rehabilitation and compensation.
Unmanned Aerial Vehicles (Drones): This model can be integrated with drones to automatically capture the health status of forests over large areas. The drones will classify and tag images with 'Alive Tree', 'Dead Tree', 'Debris', or 'Beetle/Fire Tree' making localized interventions more feasible.

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{
                            forestfire2023_dataset,
                            title = { ForestFire2023 Dataset },
                            type = { Open Source Dataset },
                            author = { Forest Fire },
                            howpublished = { \url{ https://universe.roboflow.com/forest-fire/forestfire2023 } },
                            url = { https://universe.roboflow.com/forest-fire/forestfire2023 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-05-05 },
                            }