nairobiqun

gun fail

Object Detection

gun fail Computer Vision Project

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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{ gun-fail_dataset,
    title = { gun fail Dataset },
    type = { Open Source Dataset },
    author = { nairobiqun },
    howpublished = { \url{ https://universe.roboflow.com/nairobiqun/gun-fail } },
    url = { https://universe.roboflow.com/nairobiqun/gun-fail },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-11 },
}

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Source

nairobiqun

Last Updated

4 months ago

Project Type

Object Detection

Subject

gun-and-attachment-on-apex-legen

Classes

1x-2x, 1x-digi-scope, 1x-dot, 1x-round, 2x-4x-scope, 2x-scope, 3x-scope, alternator-gun, barrel-1, barrel-2, barrel-3, bow-gun, car', car-gun, charge-gun, devotion-gun, eva-gun, flatline-gun, g7-gun, gun, havoc-gun, hemlok-gun, knife-gun, kraber-gun, longbow-gun, lstar-gun, mastiff-gun, mozam-gun, nemesis-gun, no-barrel, no-gun, no-scope, p2020-gun, pk-gun, prowler-gun, r301-gun, r99, rampage-gun, re-45-gun, repeater-gun, scoope, sentinel, spitfire-gun, triple-gun, volt-gun, wingman-gun

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License

CC BY 4.0