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Ivenpeople
I
Ivenpeople
Developed by jctivensa
A general-purpose image classification model trained on the ImageNet-1k dataset, capable of recognizing various common objects and scenes.
Downloads 20
Release Time : 1/9/2023
Model Overview
This model is a vision classification model primarily used for image classification tasks, capable of recognizing multiple categories including animals, everyday objects, buildings, and more.
Model Features
General Image Classification
Capable of recognizing various common objects and scenes, suitable for a wide range of image classification needs.
Trained on ImageNet-1k
Trained using the large-scale ImageNet-1k dataset, demonstrating strong generalization capabilities.
Model Capabilities
Image Classification
Object Recognition
Scene Recognition
Use Cases
General Image Recognition
Animal Recognition
Identify animal species in images, such as tigers.
The example correctly identifies tiger images.
Everyday Object Recognition
Recognize everyday objects, such as teapots.
The example correctly identifies teapot images.
Building Recognition
Identify types of buildings, such as palaces.
The example correctly identifies palace images.
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