isApple Computer Vision Project
Here are a few use cases for this project:
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Automated Grocery Store Inventory: Retail stores or supermarkets can use the "isApple" computer vision model to automate their inventory management by identifying and counting the number of apples in stock, thereby optimizing inventory planning.
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Agriculture Quality Control: Farmers can use this model to automate the process of sorting and grading apples based on their appearance to improve efficiency and quality control.
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Health & Diet Apps: Diet tracking applications could use the "isApple" model to help users easily identify and log their consumption of apples, supporting their health and fitness goals.
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Educational Games/Application: A game or learning application for kids teaching them about different types of fruits can use the "isApple" model to let them identify if the fruit shown is an apple or not.
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Waste Management/Recycling Systems: Automated waste management or recycling systems can utilize this model to identify apples among waste and separate edible items for better waste segregation.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
isapple_dataset,
title = { isApple Dataset },
type = { Open Source Dataset },
author = { DianFei },
howpublished = { \url{ https://universe.roboflow.com/dianfei/isapple } },
url = { https://universe.roboflow.com/dianfei/isapple },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { sep },
note = { visited on 2024-06-24 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the isApple project in your project.
