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Prdgrp Image Search
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Prdgrp Image Search
Developed by mamilldo
This is an image classification model generated based on the PyTorch framework and the HuggingPics tool, with an accuracy rate of 91.09%.
Downloads 11
Release Time : 12/9/2022
Model Overview
This model is used for image classification tasks and can identify and classify images of various common electronic devices, such as headphones, range hoods, laptops, etc.
Model Features
High accuracy
Achieves an accuracy rate of 91.09% in image classification tasks
Ease of use
Automatically generated by the HuggingPics tool, facilitating rapid deployment
Multi-functional classification
Can identify multiple categories of electronic devices
Model Capabilities
Image classification
Electronic device recognition
Use Cases
Electronic product recognition
Smart home device management
Automatically identify and classify various electronic devices in smart homes
Accurately identify devices such as headphones and smartphones
Retail inventory management
Used for automatic classification and inventory management of electronic products in the retail industry
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