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Vit Base Patch16 224 In21k Ft Cifar10test
A visual classification model fine-tuned on the CIFAR-10 test set based on the Google Vision Transformer (ViT) model
Downloads 29
Release Time : 12/8/2022
Model Overview
This model is fine-tuned based on Google's pre-trained ViT model and is suitable for image classification tasks, especially optimized for the CIFAR-10 dataset.
Model Features
Based on the ViT architecture
Adopts the Vision Transformer architecture and uses the self-attention mechanism to process image data
CIFAR-10 fine-tuning
Specifically fine-tuned for the CIFAR-10 dataset and suitable for small-size image classification tasks
Pre-trained weights
Based on the ImageNet-21k pre-trained weights, it has good feature extraction capabilities
Model Capabilities
Image classification
Feature extraction
Use Cases
Computer vision
CIFAR-10 image classification
Classify 10 types of objects in the CIFAR-10 dataset
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