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Organoids Prova Organoid

Developed by gcicceri
This model is a fine-tuned image classification model based on Google's ViT-base-patch16-224 on an image folder dataset, achieving an accuracy of 85.76% on the evaluation set.
Image Classification
Transformers
Open Source License:Apache-2.0#Image Classification#High Accuracy#ViT Architecture
Downloads 25
Release Time : 7/8/2023

Model Overview

This is a Vision Transformer model for image classification, particularly suitable for organoids image classification tasks.

Model Features

High Accuracy
Achieves a classification accuracy of 85.76% on the evaluation set.
Based on ViT Architecture
Uses the Vision Transformer base architecture, suitable for processing image data.
Fine-tuned Model
Fine-tuned on a specific image dataset, suitable for professional domain applications.

Model Capabilities

Image Classification
Visual Feature Extraction

Use Cases

Medical Image Analysis
Organoids Classification
Used for classifying different types of organoids images.
Accuracy reaches 85.76%.
Biomedical Research
Cell Image Analysis
Can be used to analyze cell culture images.
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