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Detr Resnet 50 Finetuned Cppe5

Developed by NajlaSS
Object detection model fine-tuned on the CPPE-5 dataset based on facebook/detr-resnet-50
Downloads 14
Release Time : 9/25/2023

Model Overview

This model is an object detection model based on the DETR (Detection Transformer) architecture, specifically fine-tuned for medical personal protective equipment (PPE) detection tasks.

Model Features

End-to-End Object Detection
Uses Transformer architecture for end-to-end object detection without complex post-processing.
Specialized for Medical PPE
Fine-tuned on medical personal protective equipment datasets, suitable for medical scenario detection.
Based on ResNet-50
Uses ResNet-50 as the backbone network, balancing performance and efficiency.

Model Capabilities

Object Detection
Medical Protective Equipment Recognition
Image Analysis

Use Cases

Healthcare
Personal Protective Equipment Detection
Detects protective equipment such as masks and gloves in medical scenarios.
Medical Compliance Check
Automatically checks if medical personnel are wearing compliant protective equipment.
Industrial Safety
Safety Equipment Detection
Detects the wearing of safety equipment by personnel in industrial environments.
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