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Pokemon Cards Detection

Developed by Matthieu68857
A fine-tuned model based on facebook/detr-resnet-50 for object detection tasks
Object Detection
Transformers
Open Source License:Apache-2.0#Object Detection#Medical Protective Equipment Recognition#Transformer Architecture
Downloads 657
Release Time : 9/11/2023

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 categories of objects in images.

Model Features

End-to-End Object Detection
Utilizes Transformer architecture for end-to-end object detection without complex post-processing steps
Feature Extraction with ResNet-50
Uses ResNet-50 as the backbone network to extract high-quality image features
Fine-tuned Version
Fine-tuned on a specific dataset based on the foundational model, potentially improving detection performance for specific categories

Model Capabilities

Image Object Detection
Multi-category Object Recognition
Bounding Box Prediction

Use Cases

Industrial Inspection
Personal Protective Equipment Detection
Detects whether workers in images are wearing appropriate protective equipment
Security Monitoring
Safety Equipment Compliance Check
Automatically detects the wearing of safety equipment by personnel in surveillance footage
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