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Imclasif Genres V001

Developed by sanali209
This is an image classification model generated by HuggingPics, primarily used for classifying images of specific types (genres).
Downloads 21
Release Time : 2/7/2023

Model Overview

This model is an image classifier capable of categorizing input images with an accuracy rate of 88.69%.

Model Features

High accuracy
The model achieves an accuracy rate of 88.69% in image classification tasks.
Easy to use
Generated via HuggingPics, users can easily create their own image classifiers.

Model Capabilities

Image classification
Multi-category recognition

Use Cases

Image classification
Art style classification
Used to classify artworks and identify different art styles.
Accuracy rate 88.69%
Content classification
Used to classify image content, such as animals, plants, buildings, etc.
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