coladetect Computer Vision Project
Updated a year ago
207
10
Metrics
Here are a few use cases for this project:
-
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.
-
Automated Checkout System: The model can be integrated into automated checkout systems to swiftly recognize retail items, speeding up the checkout process.
-
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.
-
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.
-
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.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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 2024-11-04 },
}