Dataset Model
An image classification model based on ViT architecture, fine-tuned on an image folder dataset
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Release Time : 12/2/2022
Model Overview
This model is a fine-tuned version of Google's ViT-base model on a custom image dataset, primarily used for image classification tasks.
Model Features
Based on ViT Architecture
Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities
Efficient Fine-tuning
Fine-tuned on a pre-trained model, saving training resources
High Accuracy
Achieves 86.47% accuracy on the evaluation dataset
Model Capabilities
Image Classification
Feature Extraction
Use Cases
Computer Vision
General Image Classification
Classifies common objects and scenes
Evaluation accuracy of 86.47%
Customized Image Recognition
Can be fine-tuned for specific requirements
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