ConvNeXt-Tiny-224 Finetuned Open-Source Image Classification Model - Free Deployment with Excellent Performance on Evaluation Sets

Convnext Tiny 224 Finetuned

Developed by ImageIN

This model is a fine-tuned version based on facebook/convnext-tiny-224, primarily used for image classification tasks, demonstrating excellent performance on the evaluation set.

Image Classification

Transformers

Open Source License:Apache-2.0 #High-precision image classification #Lightweight convolutional network #Transfer learning optimization

Downloads 15

Release Time : 9/23/2022

Model Overview

This is a fine-tuned model based on the ConvNeXt architecture, suitable for image classification tasks. It has achieved high precision, recall, and F1 scores on the evaluation set.

Model Features

High-precision classification

Achieved a precision of 0.9807 and a recall of 0.9608 on the evaluation set

Efficient fine-tuning

Fine-tuned based on the pre-trained ConvNeXt-tiny model, with high training efficiency

Stable training

After 10 training epochs, the model's performance stabilized at a high level

Model Capabilities

Image classification

Feature extraction

Use Cases

Computer vision

General image classification

Can be used to classify common objects and scenes

Achieved an accuracy of 97.76% on the evaluation set

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	46	0.3080	0.9096	0.6852	0.7206	0.8365
No log	2.0	92	0.1644	0.9660	0.9176	0.9386	0.9551
No log	3.0	138	0.0974	0.9742	0.9586	0.9661	0.9744
No log	4.0	184	0.0795	0.9829	0.9670	0.9746	0.9808
No log	5.0	230	0.0838	0.9807	0.9608	0.9702	0.9776
No log	6.0	276	0.0838	0.9807	0.9608	0.9702	0.9776
No log	7.0	322	0.0803	0.9829	0.9670	0.9746	0.9808
No log	8.0	368	0.0869	0.9807	0.9608	0.9702	0.9776
No log	9.0	414	0.0897	0.9807	0.9608	0.9702	0.9776
No log	10.0	460	0.0895	0.9807	0.9608	0.9702	0.9776

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご

Convnext Tiny 224 Finetuned

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 convnext-tiny-224_finetuned

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

🔧 Technical Details

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License