The open-source object detection model detr - resnet - 50_finetuned_cppe5 accurately identifies image targets.

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Detr Resnet 50 Finetuned Cppe5

Developed by tree12344

DETR object detection model fine-tuned on an image folder dataset, based on facebook/detr-resnet-50

Object Detection

Transformers

Open Source License:Apache-2.0 #Object Detection #Medical Protective Equipment Recognition #End-to-End Training

Downloads 20

Release Time : 11/12/2023

Model Overview

This model is an object detection model based on the DETR architecture, using ResNet-50 as the backbone network, fine-tuned on a specific image dataset, suitable for object detection tasks.

Model Features

End-to-End Object Detection

Utilizes Transformer architecture for end-to-end object detection, eliminating the need for anchor box designs in traditional methods.

ResNet-50 Backbone Network

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

Fine-Tuned Model

Fine-tuned on a specific dataset, potentially optimized for detecting objects of certain categories.

Model Capabilities

Image Object Detection

Multi-Class Object Recognition

Bounding Box Prediction

Use Cases

Industrial Inspection

Product Quality Inspection

Detects product defects or anomalies on production lines.

Security Surveillance

Safety Equipment Detection

Identifies specific safety devices or protective equipment in surveillance footage.

Property	Details
Model Type	Fine - tuned version of facebook/detr - resnet - 50
Training Data	imagefolder dataset

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Detr Resnet 50 Finetuned Cppe5

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 detr-resnet-50_finetuned_cppe5

📚 Documentation

Model Information

Training Procedure

Training Hyperparameters

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