drone-footage Computer Vision Project

Gezamelijke Brandweer

Updated a year ago

178

views

6

downloads
Description

Here are a few use cases for this project:

  1. Emergency Response Analysis: This model could provide valuable real-time data to emergency response teams during fire situations, assisting them in identifying the size, severity, and progress of the fire as well as the presence of people, vehicles, and emergency services in the vicinity.

  2. Search and Rescue Operations: The model could be employed in search and rescue efforts to spot individuals trapped by fire or other disasters from aerial imagery, identifying their locations and aiding rescuers in making informed decisions.

  3. Fire Incident Investigation: The model can be used in post-incident assessment to identify key elements related to the fire incident, helping in the investigation phase to recognize possible origins of the fire or any associated illegal activity.

  4. Training Simulations: The model can be used for creating robust training simulations for emergency services personnel. The identified classes can help in generating a fine-tuned training environment based on real incidents.

  5. Urban Planning & Safety Assessment: The model can assist in reviewing urban planning and safety measures by analyzing historical data from past fires, understanding how fires spread in specific built environments, and informing future planning and development to minimize fire risk.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            drone-footage-kg4vd_dataset,
                            title = { drone-footage Dataset },
                            type = { Open Source Dataset },
                            author = { Gezamelijke Brandweer },
                            howpublished = { \url{ https://universe.roboflow.com/gezamelijke-brandweer/drone-footage-kg4vd } },
                            url = { https://universe.roboflow.com/gezamelijke-brandweer/drone-footage-kg4vd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-09-23 },
                            }