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Vit Base Patch16 224 In21k Wwwwii

Developed by Imene
A vision classification model fine-tuned based on Google's Vision Transformer (ViT) foundation model, suitable for image classification tasks
Downloads 21
Release Time : 9/2/2022

Model Overview

This model is a fine-tuned version of the google/vit-base-patch16-224-in21k pre-trained model on an unknown dataset, primarily used for image classification tasks.

Model Features

Based on ViT architecture
Utilizes Vision Transformer architecture, processing inputs with 16x16 image patches
Transfer learning
Fine-tuned from ImageNet-21k pre-trained model with strong feature extraction capabilities
Efficient classification
Achieves 62.67% accuracy and 83.49% Top-3 accuracy on the validation set

Model Capabilities

Image classification
Visual feature extraction

Use Cases

Computer vision
General image classification
Classify and recognize input images
Validation accuracy 62.67%
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