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Vit Base Patch16 224 In21k Bart Or Homer
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Vit Base Patch16 224 In21k Bart Or Homer

Developed by DunnBC22
This is a binary classification model fine-tuned based on the ViT architecture, designed to distinguish images of Bart Simpson and Homer Simpson.
Image Classification
Transformers
 EnglishOpen Source License:Apache-2.0#Simpson Character Recognition#High-precision Image Classification#ViT Fine-tuned Model
Downloads 22
Release Time : 1/4/2023

Model Overview

This model is a fine-tuned version of google/vit-base-patch16-224-in21k, specifically tailored for image classification tasks, capable of accurately distinguishing between images of Bart Simpson and Homer Simpson.

Model Features

High Accuracy
Achieved an accuracy of 98.63% on the evaluation set, demonstrating excellent performance.
High Recall
Achieved a recall rate of 100%, effectively identifying all target categories.
Fine-tuned Model
Fine-tuned based on a pre-trained ViT model, suitable for specific classification tasks.

Model Capabilities

Image Classification
Binary Classification

Use Cases

Entertainment
Simpson Character Recognition
Used to distinguish between images of Bart Simpson and Homer Simpson.
Accuracy 98.63%, Recall 100%
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