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Cppe5 Use Data Finetuning
C
Cppe5 Use Data Finetuning
Developed by yeonmorae
Object detection model fine-tuned on the cppe-5 dataset based on facebook/detr-resnet-50
Downloads 18
Release Time : 10/28/2023
Model Overview
This model is an object detection model based on the DETR architecture, specifically optimized for medical personal protective equipment (PPE) detection tasks.
Model Features
Transformer-based Detection Architecture
Utilizes the DETR architecture, combining the advantages of Transformer and CNN, eliminating the need for anchor box designs in traditional object detection.
Specialized for Medical PPE Detection
Fine-tuned on the CPPE-5 dataset, specifically designed for detecting personal protective equipment in medical environments.
End-to-End Detection
Directly outputs prediction results without complex post-processing steps.
Model Capabilities
Object Detection
Medical Protective Equipment Recognition
Image Analysis
Use Cases
Healthcare
Hospital PPE Compliance Detection
Automatically detects whether medical staff are correctly wearing protective equipment
Medical Environment Safety Monitoring
Real-time monitoring of PPE usage in medical environments
Industrial Safety
Industrial Safety Equipment Detection
Detects whether workers are correctly wearing safety protective equipment
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