Barcodes Computer Vision Project
Updated 3 months ago
Metrics
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
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{
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 = { 2024 },
month = { jul },
note = { visited on 2024-10-12 },
}