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Perros VS Gatos Con Vit Base Patch16 224 In21k
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Perros VS Gatos Con Vit Base Patch16 224 In21k

Developed by julenalvaro
This model is a fine-tuned version of google/vit-base-patch16-224-in21k, designed for image classification tasks to distinguish between cats and dogs.
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#Pet recognition#ViT fine-tuned model
Downloads 19
Release Time : 1/4/2023

Model Overview

This model is a fine-tuned version of the Vision Transformer (ViT) architecture, specifically designed for image classification tasks, particularly for distinguishing between images of cats and dogs.

Model Features

High accuracy
Achieved an accuracy of 98.2% on the evaluation set, demonstrating excellent performance.
Fine-tuning optimization
Fine-tuned based on the pre-trained ViT model to adapt to the specific cat and dog classification task.
Efficient training
Only 4 training epochs are needed to achieve high performance, with high training efficiency.

Model Capabilities

Image classification
Cat and dog recognition

Use Cases

Pet recognition
Pet photo classification
Automatically identifies whether the animal in the photo is a cat or a dog.
Accuracy as high as 98.2%
Image management
Automatic photo library classification
Helps users automatically organize photo libraries containing cats and dogs.
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