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Pepe

Developed by PeskyAmiable
An image classification model provided by Keras, supporting multiple pre-trained architectures and suitable for common image classification tasks.
Image Classification#Deep Learning#Keras Implementation#Multi-Class Classification
Downloads 0
Release Time : 12/4/2022

Model Overview

This model is an image classification model based on Keras, which can be used to classify and recognize images and supports multiple pre-trained architectures such as ResNet, VGG, and MobileNet.

Model Features

Support for Multiple Pre-trained Architectures
Supports multiple popular pre-trained architectures, such as ResNet, VGG, MobileNet, etc., making it convenient for users to select suitable models.
Easy to Use
Based on Keras' high-level API, it provides simple and easy-to-use interfaces for quickly implementing image classification tasks.
Transfer Learning Supported
Supports transfer learning, allowing users to fine-tune on the basis of pre-trained models to adapt to specific tasks.

Model Capabilities

Image Classification
Feature Extraction
Transfer Learning

Use Cases

Computer Vision
Object Recognition
Recognize the object categories in images, such as cats, dogs, cars, etc.
High-accuracy object classification
Medical Image Analysis
Used for the classification of medical images, such as anomaly detection in X-ray and MRI images.
Assist doctors in diagnosis
Industrial Applications
Quality Inspection
Conduct quality inspection on products in the production line to identify defective products.
Improve production efficiency and quality control
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