Open-source Object Detection Model for cppe5_use_data_finetuning - Rapid and Accurate Target Identification Based on Fine-tuning

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Cppe5 Use Data Finetuning

Developed by swjin

A model fine-tuned based on facebook/detr-resnet-50 for object detection tasks

Object Detection

Transformers

Open Source License:Apache-2.0 #Object Detection #ResNet-50 Fine-tuning #Industrial Scenarios

Downloads 15

Release Time : 10/25/2023

Model Overview

This model is an object detection model based on the DETR (Detection Transformer) architecture, fine-tuned on a specific dataset, suitable for detecting specific objects in images.

Model Features

Transformer-based Detection

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

Fine-tuning Optimization

Fine-tuned on the base model facebook/detr-resnet-50 with a specific dataset, potentially optimizing detection performance for particular scenarios.

Model Capabilities

Image Object Detection

Multi-category Object Recognition

Use Cases

Industrial Inspection

Personal Protective Equipment Detection

Detects whether workers in images are wearing the required protective equipment

Security Surveillance

Safety Equipment Detection

Detects the presence and location of specific safety equipment in surveillance footage

Property	Details
Model Type	Fine - tuned version of facebook/detr - resnet - 50
License	Apache - 2.0

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Cppe5 Use Data Finetuning

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 cppe5_use_data_finetuning

📚 Documentation

Model Information

Training Procedure

Training Hyperparameters

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