CCTV Weapon Detection: Rifles Vs Umbrellas (Synthetic)

Hi,

After finding this article a while ago: ”Umbrella mistaken for assault rifle” it seemed clear we need more good data for training our detection models.

https://www.livenowfox.com/news/see-it-umbrella-mistaken-assault-rifle-sparks-mall-lockdown.amp

Its now possible to generate this type of data synthetically and thats what I did, a fully synthetic but (hopefully) realistic CCTV Dataset for Rifles and Umbrellas.

The dataset consisting of balanced, synthetic images of Rifles vs. Umbrellas from overhead CCTV angles.

I have tried to make it high-quality, not meaning high-resolution perfect images, but actually realistic usable CCTV footage images of people holding weapons and umbrellas.

I would be happy for all feedback on the data:

– Is the images too ”easy” for a well-trained object detection model?

– Good diversity?

– If anyone fine-tune a model on the data, I would be happy to know the results!

And you find the dataset here:

https://www.kaggle.com/datasets/simuletic/cctv-weapon-detection-rifles-vs-umbrellas