contrail_seg1 Instance Segmentation Dataset and Pre-Trained Model by Sorbonne Universit

Images

1070 images

Explore Dataset

Here are a few use cases for this project:

Climate Research: Researchers studying climate change and transportation impacts can use this model to differentiate between different contrail classes. It can help identify patterns or changes over time relating to airplane emissions and their longevity.
Aviation Industry: The model could be used to map contrail production patterns from different types of aircraft. This information can aid in fuel efficiency studies or in the development of lower emission aircraft.
Meteorology: The model can be utilized in meteorological research or predictions as contrails can affect weather patterns and cloud formation. Precise identification of contrail stages can help in accurate weather modeling.
Satellite Imagery Analysis: Analysts using satellite imagery for land or atmosphere assessment can use contrail_seg1 to identify and negate any contrail-related interference, ultimately enhancing the final image quality.
Environmental Impact Studies: Organizations assessing the environmental impact of human activities can use this model to gauge the volume and persistence of contrails in different geographical areas. This could assist in creating more accurate environmental impact assessments.

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{
                            contrail_seg1_dataset,
                            title = { contrail_seg1 Dataset },
                            type = { Open Source Dataset },
                            author = { Sorbonne Universit },
                            howpublished = { \url{ https://universe.roboflow.com/sorbonne-universit-xcyrb/contrail_seg1 } },
                            url = { https://universe.roboflow.com/sorbonne-universit-xcyrb/contrail_seg1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-05-10 },
                            }