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Mnist Torch
M
Mnist Torch
Developed by jiew
A general-purpose image classification model capable of recognizing and classifying objects in input images
Downloads 27
Release Time : 3/27/2023
Model Overview
This model is used for image classification tasks, capable of categorizing input images into predefined classes
Model Features
Multi-category Classification
Capable of recognizing and classifying multiple object categories in images
Efficient Inference
Optimized inference speed for image classification tasks
Transfer Learning Support
Can be fine-tuned to adapt to domain-specific classification tasks
Model Capabilities
Image recognition
Object classification
Visual feature extraction
Use Cases
Computer Vision Applications
Product Categorization
Used for automatically categorizing uploaded product images on e-commerce platforms
Improves efficiency and accuracy of product categorization
Medical Image Analysis
Assists in diagnostic classification of medical imaging
Helps doctors quickly identify abnormal images
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