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Vitezoa
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Vitezoa

Developed by ezoa
This is an image classification model generated by HuggingPics, capable of classifying various images such as animals, birds, and flags.
Image Classification
Transformers
#High-precision Image Classification#Multi-category Recognition#HuggingPics Training
Downloads 15
Release Time : 4/9/2023

Model Overview

vitezoa is a PyTorch-based image classification model automatically generated by HuggingPics, suitable for various image classification tasks.

Model Features

High Accuracy
The model performs excellently in image classification tasks, achieving an accuracy rate of 91.04%.
Multi-category Classification
Capable of classifying various image categories such as animals, birds, and flags.
Easy to Use
Generated via HuggingPics, users can easily create their own image classifiers using Google Colab.

Model Capabilities

Image Classification
Multi-category Recognition

Use Cases

Image Recognition
Animal Classification
Identify the category of animals in images.
Accuracy 91.04%
Bird Identification
Identify the category of birds in images.
Flag Recognition
Identify the category of flags in images.
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