FruitVision: AI Model for Fruit Classification Computer Vision Project
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FruitVision is an advanced AI model developed to classify fruits accurately based on their visual features, such as color, texture, and shape. Trained to recognize fruits like oranges, apples (red and green), bananas, grapes, and more, this model exemplifies the application of machine learning in solving real-world problems.
The FruitVision model offers versatile applications across various industries: • Agriculture: Automating fruit sorting and quality control processes in farms or production lines. • Retail: Enhancing self-checkout systems by automatically identifying and pricing fruits without barcodes. • Food Industry: Assisting with inventory management by detecting and categorizing produce in storage or delivery systems. • Education: Providing an engaging tool to teach AI concepts and computer vision techniques.
This project highlights technical proficiency in model development, optimization, and practical implementation, demonstrating the transformative potential of AI in everyday scenarios.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
fruitvision-ai-model-for-fruit-classification_dataset,
title = { FruitVision: AI Model for Fruit Classification Dataset },
type = { Open Source Dataset },
author = { Sebastian },
howpublished = { \url{ https://universe.roboflow.com/sebastian-auegn/fruitvision-ai-model-for-fruit-classification } },
url = { https://universe.roboflow.com/sebastian-auegn/fruitvision-ai-model-for-fruit-classification },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-12-22 },
}