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Job Classification
J
Job Classification
Developed by eslimrana
An image classification model for recognizing professions in pictures
Downloads 36
Release Time : 4/10/2023
Model Overview
This model is built using PyTorch framework and HuggingPics tool, specifically designed for classifying professions in images, such as doctors, engineers, lawyers, etc.
Model Features
High Accuracy
Achieves 82.09% accuracy in profession classification tasks
Ease of Use
Easily create custom image classifiers through the HuggingPics tool
Multi-profession Recognition
Capable of recognizing multiple common profession categories
Model Capabilities
Image Classification
Profession Recognition
Multi-category Classification
Use Cases
Human Resources
Resume Photo Profession Recognition
Automatically identify profession categories in resume photos
Improves resume screening efficiency
Social Media
User Profession Tag Generation
Automatically generate profession tags based on user-uploaded photos
Enhances user profile accuracy
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