AIbase
EN
Home
Vit Base Patch16 224 In21k Shiba Inu Detector
V

Vit Base Patch16 224 In21k Shiba Inu Detector

Developed by domluna
This model is an image classification model fine-tuned on a dataset containing Shiba Inus and 3 other dog breeds based on the ViT architecture, specifically designed to identify Shiba Inus and other dog breeds.
Image Classification
Transformers
Open Source License:Apache-2.0#Shiba Inu Recognition#High Accuracy#Dog Breed Classification
Downloads 17
Release Time : 4/17/2022

Model Overview

Fine-tuned from Google's ViT-base-patch16-224-in21k model for dog breed classification, with exceptional performance in recognizing Shiba Inus.

Model Features

High Accuracy
Achieves 100% classification accuracy on the evaluation set.
ViT-based Architecture
Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities.
Few-shot Learning
Achieves high performance with limited data through fine-tuning of a pre-trained model.

Model Capabilities

Dog Breed Recognition
Image Classification
Shiba Inu Detection

Use Cases

Pet Recognition
Dog Breed Classification
Identify dog breeds in images, especially Shiba Inus.
Achieves 100% accuracy on the test set.
Smart Photo Albums
Automatic Pet Photo Sorting
Automatically organize photos containing Shiba Inus.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase