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Gun Obj Detection

Developed by Dricz
A gun object detection model fine-tuned based on facebook/detr-resnet-50, used to identify gun objects in images.
Object Detection
Transformers
Open Source License:Apache-2.0#Gun Detection#Object Recognition#Security Monitoring
Downloads 94
Release Time : 3/16/2024

Model Overview

This model is an improved version based on the DETR (Detection Transformer) architecture, specifically designed for gun detection tasks. It can identify and locate gun objects in images.

Model Features

DETR-based Architecture
Uses Transformer architecture for object detection, eliminating the need for anchor box designs in traditional object detection methods.
ResNet-50 Backbone
Adopts ResNet-50 as the feature extractor, providing robust feature representation capabilities.
Specialized Gun Detection
Optimized specifically for gun objects, potentially outperforming general object detection models in gun detection tasks.

Model Capabilities

Gun detection in images
Object localization
Object classification

Use Cases

Public Safety
Surveillance Video Analysis
Used to detect guns in surveillance camera footage, enhancing public space security.
Security Checks
Assists security check systems in identifying dangerous items at airports, train stations, and other locations.
Law Enforcement Support
Crime Scene Analysis
Helps law enforcement quickly identify and analyze weapons in crime scene images.
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