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Vit Flyswot Test

Developed by davanstrien
A Vision Transformer model fine-tuned on an image folder dataset, primarily used for image classification tasks
Image Classification
Transformers
#Image Classification#ViT Architecture#High F1 Score
Downloads 24
Release Time : 3/2/2022

Model Overview

This model is an image classification model based on the Vision Transformer architecture, fine-tuned on a specific dataset, achieving good classification performance

Model Features

Efficient Image Classification
Based on Transformer architecture, capable of effectively handling image classification tasks
Transfer Learning Capability
Achieves good performance on specific datasets by fine-tuning pre-trained models
Stable Training Process
F1 score steadily improves during training, ultimately reaching 0.8492

Model Capabilities

Image Classification
Transfer Learning
Computer Vision Task Processing

Use Cases

Computer Vision
General Image Classification
Classify and recognize input images
F1 score reaches 0.8492
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