vit-base-beans Open-source Image Classification Model - Free Deployment for Accurate Classification of Bean Images

Vit Base Beans

Developed by amyeroberts

This model is an image classification model fine-tuned on the beans dataset based on timm/resnet18.a1_in1k, achieving an accuracy of 69.17%.

Downloads 19

Release Time : 10/28/2022

Model Overview

This is a vision model based on the ResNet18 architecture, specifically fine-tuned for the beans dataset for image classification tasks.

Efficient Fine-tuning

Fine-tuned based on the pre-trained ResNet18 model, achieving good classification results on the beans dataset.

Lightweight Architecture

Adopts the ResNet18 architecture, making the model relatively lightweight and suitable for resource-constrained environments.

Image Classification

Visual Feature Extraction

Agriculture

Bean Plant Classification

Used for identifying and classifying different types of bean plants

Achieved 69.17% accuracy on the evaluation set

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0884	1.0	130	1.0903	0.4060
1.0721	2.0	260	1.0681	0.5188
1.0623	3.0	390	1.0460	0.6391
1.052	4.0	520	1.0410	0.6165
1.0519	5.0	650	1.0324	0.6917

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