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Exper Batch 32 E4
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Exper Batch 32 E4

Developed by sudo-s
This model is an image classification model fine-tuned on the sudo-s/herbier_mesuem1 dataset based on google/vit-base-patch16-224-in21k, achieving an accuracy of 90.67% on the evaluation set.
Image Classification
Transformers
Open Source License:Apache-2.0#Plant Image Classification#High Accuracy#ViT Fine-tuning
Downloads 31
Release Time : 6/26/2022

Model Overview

This is an image classification model based on the Vision Transformer (ViT) architecture, specifically fine-tuned for a particular dataset.

Model Features

High Accuracy
Achieved a classification accuracy of 90.67% on the evaluation set.
Based on ViT Architecture
Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities.
Efficient Fine-tuning
Requires only 4 training epochs to achieve good performance.

Model Capabilities

Image Classification
Feature Extraction

Use Cases

Plant Identification
Plant Specimen Classification
Can be used for automatic classification of plant specimens in museums or research institutions.
Accuracy reached 90.67%
Image Analysis
Image Content Recognition
Can be used to identify specific category contents in images.
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