Cartoondetection Sagnik
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Cartoondetection Sagnik
Developed by sagu7
This is an image classification model built with PyTorch and HuggingPics, specifically designed to distinguish between cartoon images and human images.
Downloads 16
Release Time : 3/6/2023
Model Overview
The model can accurately classify whether the input image is a cartoon or a real person, suitable for scenarios such as content filtering and image classification.
Model Features
High Accuracy
Achieved an accuracy of 99.77% on the test set, demonstrating excellent performance.
Easy to Use
Automatically generated via HuggingPics tools, making deployment and usage very convenient.
Model Capabilities
Image Classification
Cartoon Detection
Human Detection
Use Cases
Content Filtering
Cartoon Content Recognition
Automatically identifies and filters cartoon content
Accuracy as high as 99.77%
Image Classification
Cartoon/Human Classification
Classifies input images as either cartoons or humans
High classification accuracy
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