Roboflow Universe HelicoptersofDC Aerial News Stories

Aerial News Stories Computer Vision Project

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Project overview:
This dataset is intended to aid in the scraping of news sites to identify missions of newsgathering helicopters.

Descriptions of each class type
So far we have identified the following classes of "stories":
traffic: this includes crashes, if there are cars in the photo, this is a safe bet
fire
water
medevac
rescue workers: looking for high-viz vests
fallen trees
weather
night
crime scene: look for little yellow cones
night: whether it is night vision or traffic at night
other aerial: sometimes you can't tell exactly what the story is...

Links to external resources
Scraped @Chopper4Brad 08-21 - 08-22
Scraped NBC4 Local last month

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{ aerial-news-stories_dataset,
    title = { Aerial News Stories Dataset },
    type = { Open Source Dataset },
    author = { HelicoptersofDC },
    howpublished = { \url{ https://universe.roboflow.com/helicoptersofdc/aerial-news-stories } },
    url = { https://universe.roboflow.com/helicoptersofdc/aerial-news-stories },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { aug },
    note = { visited on 2023-03-29 },
}