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Vit Base Patch16 224 In21k Finetuned Cassava
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Vit Base Patch16 224 In21k Finetuned Cassava

Developed by siddharth963
Image classification model based on Google Vision Transformer (ViT) architecture, fine-tuned on image folder dataset with 87.06% accuracy
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#ViT fine-tuned model#Agricultural image recognition
Downloads 31
Release Time : 9/27/2022

Model Overview

This model is a pre-trained model based on Vision Transformer architecture, fine-tuned for specific image classification tasks, suitable for image recognition and classification tasks

Model Features

High accuracy
Achieves 87.06% accuracy on the evaluation set, demonstrating excellent performance
Transformer-based architecture
Utilizes advanced Vision Transformer architecture with powerful feature extraction capabilities
Transfer learning
Fine-tuned based on pre-trained model, suitable for image classification tasks in specific domains

Model Capabilities

Image classification
Feature extraction
Transfer learning

Use Cases

Agriculture
Cassava disease identification
Inferred from model name, possibly used for identifying diseases in cassava plants
87.06% accuracy
General image recognition
Image classification
Classify and recognize input images
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