BoxOCR_2_2022 Computer Vision Project

Mursaleen Hassan

Updated 3 years ago

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Classes (5)
BoxOCR22022
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Description

Here are a few use cases for this project:

  1. Parcel Sorting Automation: The BoxOCR_2_2022 model could be used in warehouses or postal offices for the automated sorting of packages based on the number code written on each box.

  2. Smart Inventory Management: Retailers or wholesalers can use this model to keep track of their inventory by scanning box numbers and comparing them with database records.

  3. Quality Control in Manufacturing: Manufacturers could use BoxOCR_2_2022 to identify and sort products based on the numbers on their packaging boxes, helping significantly in quality control and process optimization.

  4. Augmented Reality Game Development: Game developers could use this model to create AR games where players are required to find boxes with specific numbers.

  5. Real-Time Tracking in Logistics: Logistics companies could use this model to help with real-time tracking and localization of specific packages, improving efficiency and reducing errors in package handling.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            boxocr_2_2022_dataset,
                            title = { BoxOCR_2_2022 Dataset },
                            type = { Open Source Dataset },
                            author = { Mursaleen Hassan },
                            howpublished = { \url{ https://universe.roboflow.com/mursaleen-hassan/boxocr_2_2022 } },
                            url = { https://universe.roboflow.com/mursaleen-hassan/boxocr_2_2022 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { mar },
                            note = { visited on 2024-11-24 },
                            }