Syn10k - oct - ViT - Base - 8Epochs - v1 Open - source Image Classification Model Achieves 92.5% Accuracy after Training!

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Syn10k Oct ViT Base 8Epochs V1

Developed by g30rv17ys

An image classification model based on the ViT architecture, achieving 92.5% accuracy after 8 training epochs

Image Classification

Transformers

#High-precision image classification #ViT architecture #Short-cycle training

Downloads 13

Release Time : 10/17/2022

Model Overview

This model is an image classification model based on the Vision Transformer (ViT) architecture, suitable for general image classification tasks. After 8 training epochs, it achieved 92.5% accuracy on the evaluation dataset.

Model Features

High accuracy

Achieves 92.5% classification accuracy on the evaluation dataset

Based on ViT architecture

Utilizes the Vision Transformer architecture, combining the advantages of Transformer in visual tasks

Efficient training

Requires only 8 training epochs to achieve good performance

Model Capabilities

Image classification

Visual feature extraction

Use Cases

Computer vision

General image classification

Classifies and recognizes input images

Accuracy reaches 92.5%

Visual content analysis

Extracts visual features from images for further analysis

Property	Details
Metrics Used	accuracy

Property	Details
Model Name	Syn10k-oct-ViT-Base-8Epochs-v1
Task	Image Classification
Metric Name	Accuracy
Metric Value	0.925000011920929

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Syn10k Oct ViT Base 8Epochs V1

Model Overview

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Model Capabilities

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🚀 Syn10k-oct-ViT-Base-8Epochs-v1

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