The open-source model detr-resnet-50_finetuned_keyboard_detection

Home

Detr Resnet 50 Finetuned Keyboard Detection

Developed by Natoshir

A keyboard detection model fine-tuned based on facebook/detr-resnet-50 for keyboard recognition tasks in images.

Object Detection

Transformers

Open Source License:Apache-2.0 #Object Detection #Keyboard Recognition #Fine-tuned Model

Downloads 22

Release Time : 3/7/2023

Model Overview

This model is a vision object detection model based on the DETR (Detection Transformer) architecture, specifically fine-tuned for keyboard detection tasks.

Model Features

End-to-End Object Detection

Uses Transformer architecture to achieve end-to-end object detection without complex post-processing.

Feature Extraction with ResNet-50

Uses ResNet-50 as the backbone network, providing powerful feature extraction capabilities.

Fine-Tuning Optimization

Specially fine-tuned for keyboard detection tasks to improve performance on this specific task.

Model Capabilities

Image Object Detection

Keyboard Recognition

Object Localization

Use Cases

Computer Vision Applications

Keyboard Detection System

Used to detect the position of keyboards in images or videos.

Input Device Analysis

Analyzes input devices and their positions in images.

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご

Detr Resnet 50 Finetuned Keyboard Detection

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 detr-resnet-50_finetuned_keyboard_detection

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License