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Iabdsapa Model

Developed by fbarragan
A Transformer-based image classification model for identifying cats and dogs in images.
Downloads 40
Release Time : 1/14/2025

Model Overview

This model is an image classification model specifically designed to distinguish between cats and dogs in images. It is based on the Transformer architecture and is suitable for simple binary classification tasks.

Model Features

Easy to Use
The model focuses on the cat and dog classification task, with a simple structure that is easy to deploy and use.
Transformer-based
Utilizes the Transformer architecture to effectively capture features in images.

Model Capabilities

Image Classification
Cat and Dog Recognition

Use Cases

Pet Recognition
Pet Photo Classification
Used to automatically classify user-uploaded pet photos, distinguishing between cats and dogs.
Can accurately identify cats and dogs in images.
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