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Topic: "firearm-detection"

hardik0/Deep-Learning-with-GoogleColab

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

Language: Jupyter Notebook - Size: 55.5 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 78 - Forks: 29

atulyakumar97/fire-and-gun-detection

Fire and Gun detection using yolov3 in videos as well as images. Training code, dataset and trained weight file available.

Language: Python - Size: 25.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 45 - Forks: 13

bharatc9530/weapon-detection

Pistol, Rifle, and Fire detection using yolov4-tiny in videos as well as images. Training code, dataset, and trained weight file available.

Language: Jupyter Notebook - Size: 38.6 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 9

prasanna08/Vigilancia Fork of Yash9060/Vigilancia

Video surveillance using deep learning models

Language: Python - Size: 471 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 4

parikshitkumar1/Optimized-Firearm-Detection

An OpenCV application that uses YOLOv3 and YOLOv3-Tiny object detection and weights trained on a custom dataset to detect firearms in a given image, video and in real-time.

Language: Python - Size: 22.7 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1

ShreyVaghela/Firearms-detection-in-images-using-Tensorflow

Language: Python - Size: 22.4 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2

dhvani-k/Firearm_Detection_In_CCTVs_Using_YOLOv5

Detects firearms in real-time from CCTV videos, highlighting them within bounding boxes for immediate attention

Language: Jupyter Notebook - Size: 21.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0