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Cifar 10 Vgg Pretrained
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
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