Roboflow Universe Weapon Dectection Weapon-object-coco

Weapon-object-coco Computer Vision Project

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If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            weapon-object-coco_dataset,
                            title = { Weapon-object-coco Dataset },
                            type = { Open Source Dataset },
                            author = { Weapon Dectection },
                            howpublished = { \url{ https://universe.roboflow.com/weapon-dectection/weapon-object-coco } },
                            url = { https://universe.roboflow.com/weapon-dectection/weapon-object-coco },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-07-27 },
                            }

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Source

Weapon Dectection

Last Updated

4 months ago

Project Type

Instance Segmentation

Subject

Object-person

Views: 71

Downloads: 0

License

CC BY 4.0

Classes

# Description # Introduction # Requirements 0:-weapon 10:-fire-hydrant 11:-stop-sign 12:-parking-meter 13 13:-bench 14 14:-bird 15:-cat 16 16:-dog 17 17:-horse 18:-sheep 19:-cow 1:-bicycle 20:-elephant 21:-bear 22:-zebra 23 23:-giraffe 24:-backpack 25 25:-umbrella 26 26:-handbag 27:-tie 28:-suitcase 29:-frisbee 2:-car 30:-skis 31:-snowboard 32:-sports-ball 33:-kite 34:-baseball-bat 35:-baseball-glove 36 36:-skateboard 37:-surfboard 38:-tennis-racket 39 39:-bottle 3:-motorcycle 40 40:-wine-glass 41 41:-cup 42 42:-fork 43 43:-knife 44 44:-spoon 45 45:-bowl 46:-banana 47:-apple 48:-sandwich 49 49:-orange 4:-airplane 50 50:-broccoli 51:-carrot 52:-hot-dog 53 53:-pizza 54:-donut 55 55:-cake 56 56:-chair 57:-couch 58 58:-potted-plant 59 59:-bed 5:-bus 60 60:-dining-table 61:-toilet 62:-tv 63:-laptop 64:-mouse 65:-remote 66:-keyboard 67:-cell-phone 68 68:-microwave 69 69:-oven 6:-train 70:-toaster 71:-sink 72 72:-refrigerator 73 73:-book 74 74:-clock 75 75:-vase 76:-scissors 77 77:-teddy-bear 78:-hair-drier 79:-toothbrush 7:-truck 80 80:-person 8:-boat 9:-traffic-light Issues should be raised directly in the repository. For additional questions or comments please email Glenn Jocher at glenn.jocher@ultralytics.com or visit us at https://contact.ultralytics.com. The https://github.com/ultralytics/COCO2YOLO repo contains code to convert JSON datasets into YOLO (darknet) format. The code works on Linux, MacOS and Windows. This directory contains software developed by Ultralytics LLC, and **is freely available for redistribution under the GPL-3.0 license**. For more information please visit https://www.ultralytics.com. object

Instance Segmentation