2012 Tanks Computer Vision Project

Liangyu Wu

Updated 2 years ago

113

views

5

downloads
Classes (4)
AB
DT
FAT
FXT
Description

Here are a few use cases for this project:

  1. Oil and Gas Industry Automation: Automating the identification of different oil tank types in aerial imagery can help oil and gas companies monitor and manage their assets more efficiently. This can help them plan maintenance, predict capacity, and optimize operations.

  2. Environmental Monitoring: Environmental agencies could use this model to identify types of oil tanks in satellite imagery to ensure compliance with regulations, monitor environmental impacts, or even prevent potential environmental incidents by catching leaks or overflows.

  3. Real Estate and Land Use Planning: The model could be used in real estate or land use planning to identify the presence and type of oil tanks on properties. This data can be critical when assessing potential risks, estimating property value, or planning development projects.

  4. Emergency Response Planning: The model could assist emergency response teams in planning and conducting operations after natural disasters or accidents. By identifying specific oil tank configurations, teams can plan accurate strategies for oil spills, contamination or fire hazards.

  5. Insurance Risk Assessment: Insurance companies can use the model to identify oil tank types on insured properties. This will help in assessing the risk thoroughly and deciding the premium accurately.

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{
                            2012-tanks_dataset,
                            title = { 2012 Tanks Dataset },
                            type = { Open Source Dataset },
                            author = { Liangyu Wu },
                            howpublished = { \url{ https://universe.roboflow.com/liangyu-wu/2012-tanks } },
                            url = { https://universe.roboflow.com/liangyu-wu/2012-tanks },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-11-25 },
                            }