coladetect Computer Vision Project
Here are a few use cases for this project:
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Retail Inventory Management: The 'coladetect' model can be used in retail stores or supermarkets to keep track of product stocks by visually identifying and classifying them.
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Automated Checkout System: The model can be integrated into automated checkout systems to swiftly recognize retail items, speeding up the checkout process.
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Retail Analytics: By identifying the type and amount of products in a store at a given time, the model can provide valuable data for improving store layout, product placement, and inventory purchase planning.
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Assisted Shopping App: A mobile application using 'coladetect' could allow customers to point their camera at a product and receive detailed information about it including price and nutritional values.
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Retail Thefts Prevention: The system can monitor store aisles and identify if an item was taken but not paid for, helping in mitigating retail thefts.
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.
YOLOv8
This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
coladetect_dataset,
title = { coladetect Dataset },
type = { Open Source Dataset },
author = { projeeeeeeeeeeeeeee },
howpublished = { \url{ https://universe.roboflow.com/projeeeeeeeeeeeeeee/coladetect } },
url = { https://universe.roboflow.com/projeeeeeeeeeeeeeee/coladetect },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { sep },
note = { visited on 2024-07-27 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the coladetect project in your project.