astronomy_yolov7 Computer Vision Project

astronomyyolov7

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Classes (2)
points
streak
Description

Here are a few use cases for this project:

  1. Space Debris Tracking: The astronomy_yolov7 model can be used to track and monitor space debris, such as defunct satellites and other man-made objects orbiting Earth, based on the streaks and points they leave in the night sky. This information can aid efforts to minimize the risk of collisions and damage to functional satellites.

  2. Meteor Shower Observation: By identifying and differentiating points and streaks within the night sky, astronomy_yolov7 can be used by astronomers and researchers to analyze meteor showers more efficiently, allowing for a better understanding of these events and the prediction of future occurrences.

  3. Sky Event Photography: Astrophotographers and enthusiasts can use the astronomy_yolov7 model to automatically detect streaks and points in their images, making it easier to catalog and edit their photos, as well as reduce noise in their captures.

  4. Satellite Path Prediction: With the ability to detect streaks left by satellites, the astronomy_yolov7 model can be utilized in predicting satellite paths, which can be useful for communication and observation purposes, as well as simplifying satellite management for space agencies.

  5. Search for Near-Earth Objects (NEOs): The model can be employed to analyze images of the night sky to identify streaks left by near-Earth objects, such as asteroids and comets. This information can aid in efforts to predict and monitor the movement of potentially hazardous objects, helping to protect Earth from potential impacts.

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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{
                            astronomy_yolov7_dataset,
                            title = { astronomy_yolov7 Dataset },
                            type = { Open Source Dataset },
                            author = { astronomyyolov7 },
                            howpublished = { \url{ https://universe.roboflow.com/astronomyyolov7/astronomy_yolov7 } },
                            url = { https://universe.roboflow.com/astronomyyolov7/astronomy_yolov7 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-09-26 },
                            }