Overhead Plane Detector Computer Vision Project
SkyBot
This is the dataset powering http://skybot.cam, an app that captures planes flying over top of my house.
Upon the project gaining popularity on Hacker News from the above tweet, I thought I'd share the dataset and an example model to make it easier for others to build a plane spotting app, too.
About this Project
I built a system to take photos of all of the airplanes that fly over my house. Most of these planes are passing by at more than 30,000 feet! It uses ADS-B to track where the aircraft are relative to the camera, points the camera in the right direction and snaps a photo. I then run a few serverless functions that are running to detect where the aircraft is in the image and make a thumbnail. Much of the services are hosted on Azure. There's more details on the overall project here! http://skybot.cam/about. The project is open source as a part of my work from IQT as well.
About the Dataset
The dataset is of airfract that was captured as they flew overhead. It includes a mix of large and small passenger jets and an assortment of business jets. There are also a images with buildings and contrails, where there is not aircraft present.
Use Cases
This dataset should allow for a plane dectector model to be built like for plane spotting and plane detection.
About Me
I'm Luke Berndt, I work on Azure products at Microsoft. You can learn more about me here: http://lukeberndt.com/
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{ overhead-plane-detector_dataset,
title = { Overhead Plane Detector Dataset },
type = { Open Source Dataset },
author = { SkyBot Cam },
howpublished = { \url{ https://universe.roboflow.com/skybot-cam/overhead-plane-detector } },
url = { https://universe.roboflow.com/skybot-cam/overhead-plane-detector },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jan },
note = { visited on 2023-01-31 },
}