detr-resnet-50_finetuned_cppe5 Open Source Object Detection Model - Well-Fine-Tuned on CPPE-5 Dataset with High Practicality

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Detr Resnet 50 Finetuned Cppe5

Developed by clp

DETR object detection model fine-tuned on the CPPE-5 dataset

Object Detection

Transformers

Open Source License:Apache-2.0 #Object Detection #Medical Protective Equipment Recognition #Fine-tuned Model

Downloads 16

Release Time : 2/17/2023

Model Overview

This model is an object detection model based on the DETR architecture, using ResNet-50 as the backbone network and fine-tuned on the CPPE-5 dataset. It is primarily used for detecting personal protective equipment (PPE).

Model Features

Transformer-based Object Detection

Utilizes the DETR architecture, combining the advantages of Transformers to provide an end-to-end object detection solution.

ResNet-50 Backbone Network

Uses ResNet-50 as the feature extractor, providing robust feature representation capabilities.

Fine-tuned on CPPE-5 Dataset

Optimized specifically for personal protective equipment (PPE) detection tasks.

Model Capabilities

Object Detection

Personal Protective Equipment Recognition

Multi-class Object Detection

Use Cases

Medical Protection

Medical Protective Equipment Detection

Detects protective equipment such as masks and gloves in medical settings.

Industrial Safety

Worker Safety Gear Detection

Detects whether workers are wearing necessary safety gear at construction sites or factories.

Property	Details
Transformers	4.27.0.dev0
Pytorch	1.13.1+cu116
Datasets	2.9.0
Tokenizers	0.13.2

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Detr Resnet 50 Finetuned Cppe5

Model Overview

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