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Clip Vit Large Patch14 Finetuned Fruits 360 Vitlarge
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Clip Vit Large Patch14 Finetuned Fruits 360 Vitlarge

Developed by AnneMarie1
High-precision fruit image classification model fine-tuned on the Fruits-360 dataset based on CLIP ViT-Large
Image Classification
Transformers
#High-precision Image Classification#Fruit Recognition#Transfer Learning
Downloads 29
Release Time : 3/29/2023

Model Overview

This model is a fine-tuned version of OpenAI's CLIP ViT-Large model on the Fruits-360 fruit image dataset, specifically designed for fruit image classification tasks, achieving an accuracy of 98.46% on the validation set.

Model Features

High Accuracy
Achieves 98.46% classification accuracy on the Fruits-360 validation set
Fine-tuned on CLIP
Utilizes the powerful visual representation capabilities of the CLIP pre-trained model for transfer learning
ViT-Large Architecture
Employs the Vision Transformer large architecture with robust feature extraction capabilities

Model Capabilities

Fruit Image Classification
Multi-class Image Recognition

Use Cases

Agriculture & Food
Automatic Fruit Sorting System
Used for automatic sorting and quality inspection on fruit processing lines
Can achieve 98.46% classification accuracy
Retail Self-Checkout System
Automatic fruit recognition at supermarket self-checkout counters
Education
Botany Teaching Aid
Helps students identify different types of fruits
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