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Vit Base Cifar10
Image classification model fine-tuned on CIFAR10 dataset based on ViT architecture
Downloads 36
Release Time : 4/7/2022
Model Overview
This model is an image classification model fine-tuned on the CIFAR10 dataset using the Vision Transformer (ViT) architecture, specifically designed for small-size image classification tasks with 32x32 pixels.
Model Features
Small Image Processing
Optimized specifically for small-size images with 32x32 pixels
High Accuracy
Achieves 91.34% accuracy on the CIFAR10 dataset
Efficient Inference
Evaluation speed reaches 127 samples per second
Model Capabilities
Image Classification
Small-size Image Recognition
Use Cases
Computer Vision
CIFAR10 Image Classification
Classify 10 categories of objects in the CIFAR10 dataset
91.34% accuracy
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