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Detr Resnet 50 Finetuned 10k Cppe5

Developed by qubvel-hf
An object detection model fine-tuned on the CPPE-5 dataset based on facebook/detr-resnet-50, specializing in personal protective equipment detection.
Downloads 4,074
Release Time : 4/18/2024

Model Overview

This model is a ResNet-50 variant of the DETR (Detection Transformer) architecture, specifically fine-tuned for medical and personal protective equipment (PPE) detection tasks.

Model Features

End-to-End Object Detection
Uses Transformer architecture for end-to-end object detection, eliminating the need for anchor box designs in traditional methods.
Personal Protective Equipment Detection
Optimized specifically for PPE items in medical settings, such as protective suits, face shields, gloves, goggles, and masks.
Medium-Scale Model
Balanced design based on ResNet-50, achieving a good trade-off between accuracy and computational efficiency.

Model Capabilities

Object detection in images
Personal protective equipment recognition
Multi-category object detection

Use Cases

Medical Safety
PPE Compliance Check
Automatically detects whether medical staff are wearing protective equipment correctly.
Protective suit detection accuracy 65.8%, face shield detection accuracy 36.9%
Industrial Safety
Workplace Safety Monitoring
Monitors whether workers in factories or construction sites are wearing necessary protective equipment.
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