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Convnext Flyswot

Developed by davanstrien
An image classification model based on the ConvNeXt architecture, fine-tuned on an image folder dataset, excelling in high-precision image classification tasks
Downloads 26
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of facebook/convnext-base-224-22k on an image folder dataset, primarily used for image classification tasks, achieving an F1 score of 0.9592 on the evaluation set

Model Features

High-precision classification
Achieved an outstanding F1 score of 0.9592 on the evaluation set
Based on ConvNeXt architecture
Utilizes the advanced ConvNeXt-base architecture with powerful feature extraction capabilities
Efficient fine-tuning
Fine-tuned on the base model with high training efficiency

Model Capabilities

Image classification
Feature extraction
Visual recognition

Use Cases

Computer vision
General image classification
Classify and recognize images
F1 score reaches 0.9592
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