C

Cifar 10 Vgg Pretrained

Developed by amehta633
Image classification model implemented with PyTorch, capable of recognizing multiple common object categories
Downloads 22
Release Time : 6/8/2022

Model Overview

This is a convolutional neural network built using the PyTorch framework for image classification tasks. The model is trained on large-scale image datasets and can accurately identify the main object categories in images.

Model Features

High Accuracy
Achieves high classification accuracy on standard test sets
PyTorch Implementation
Built using the PyTorch framework for easy modification and extension
Pre-trained Weights
Provides pre-trained model weights to support transfer learning

Model Capabilities

Image Classification
Object Recognition
Feature Extraction

Use Cases

Computer Vision Applications
Product Categorization
Used for automatically categorizing uploaded product images on e-commerce platforms
Reduces manual categorization workload and improves classification consistency
Content Moderation
Identifies inappropriate content in user-uploaded images
Helps automatically filter out inappropriate content
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase