Open-source object detection model of cppe5_use_data_finetuning - Precise object detection based on fine-tuning with specific datasets

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Cppe5 Use Data Finetuning

Developed by OhST

Object detection model fine-tuned on the CPPE-5 dataset based on facebook/detr-resnet-50

Object Detection

Transformers

Open Source License:Apache-2.0 #Medical Protection Detection #DETR Fine-tuned Model #Few-shot Optimization

Downloads 13

Release Time : 10/30/2023

Model Overview

This is a deep learning model for object detection, specifically optimized for medical protective equipment detection.

Model Features

Transformer-based Detection Architecture

Utilizes DETR architecture, combining the strengths of Transformer and CNN for end-to-end object detection

Optimized for Medical Protective Equipment Detection

Fine-tuned on the CPPE-5 dataset, specifically optimized for medical protective equipment detection scenarios

Efficient Detection

Uses ResNet-50 as the backbone network, achieving a balance between accuracy and efficiency

Model Capabilities

Object Detection

Medical Protective Equipment Recognition

Multi-category Object Recognition

Use Cases

Medical Protection

Personal Protective Equipment Detection

Detects personal protective equipment in medical scenarios, such as masks, gloves, etc.

Medical Equipment Monitoring

Monitors the usage of protective equipment in medical environments

Industrial Inspection

Safety Equipment Detection

Detects the usage of safety equipment in industrial environments

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Cppe5 Use Data Finetuning

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 cppe5_use_data_finetuning

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📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

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