Barcodes Computer Vision Project
Barcodes and QR codes are images with black and white components that, when scanned, can be coded to transmit information. Barcodes are machine-readable and often used in retail, logistics, manufacturing, point-of-sale, event ticketing, shipping, delivery, and asset management use cases.
This dataset uses bounding boxes for detection of barcodes and QR codes. Once a barcode is identified within an image, an application could trigger the reading of the barcode or post-processing can be used to crop the barcode to be passed for an application to read the barcode.
Barcodes can be read with computer vision using mobile devices such as iPhones or Android devices.
Research available on barcode recognition: https://link.springer.com/chapter/10.1007/978-3-030-57058-3_34
Github resources for barcode recognition: https://github.com/abbyy/barcode_detection_benchmark
How QR codes work: https://typefully.com/DanHollick/qr-codes-T7tLlNi
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{
barcodes-zmxjq_dataset,
title = { Barcodes Dataset },
type = { Open Source Dataset },
author = { Labeler Projects },
howpublished = { \url{ https://universe.roboflow.com/labeler-projects/barcodes-zmxjq } },
url = { https://universe.roboflow.com/labeler-projects/barcodes-zmxjq },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-03-28 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Barcodes project in your project.