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Platzi Vit Model Mewita

Developed by platzi
An image classification model fine-tuned on a legume dataset based on Google's ViT model, achieving 97.74% accuracy
Image Classification
Transformers
Open Source License:Apache-2.0#Legume Classification#High-precision Image Recognition#Agricultural Detection
Downloads 15
Release Time : 4/9/2023

Model Overview

This model is a fine-tuned version of Google's ViT-base-patch16-224-in21k model on a legume dataset, primarily used for image classification tasks, demonstrating excellent performance on the validation set.

Model Features

High Accuracy
Achieves 97.74% classification accuracy on the legume dataset validation set
Based on ViT Architecture
Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities
Fine-tuned Model
Optimized for specific tasks based on a pre-trained model

Model Capabilities

Image Classification
Plant Recognition
Legume Variety Identification

Use Cases

Agriculture
Legume Variety Classification
Automatically identifies and classifies different varieties of legumes
97.74% accuracy
Quality Control
Agricultural Product Quality Inspection
Detects the quality of legume products through image recognition
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