New containers Computer Vision Project
Updated 2 years ago
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Metrics
Here are a few use cases for this project:
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Container Classification: This model could be used in the shipping and logistics industry to identify and classify different containers based on their marked alphanumeric identifiers. This could enhance the process of sorting and automated tracking of containers in storage areas, shipyards, or warehouses.
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Automatic License Plate Recognition: The model could be used to recognize and decipher characters on car license plates. This could be particularly useful for law enforcement agencies, toll collection points, and parking lot management for tracking and identification purposes.
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Container Verification in Ports: Ports and custom agencies can use this model to identify, track, and verify containers as they arrive and depart. This program could greatly reduce human error, improve efficiency, and boost security.
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Street Sign Recognition: The model can be used in autonomous driving systems to identify and understand street signs, thereby enhancing navigational accuracy and safety.
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Text Recognition in Natural Images: This model can be applied in situations where there are images with embedded text and characters, such as documents, banners, posters, and signboards. This can be implemented in a wide range of applications from OCR systems to translation apps, aiding in digitizing printed text, translating signs in real-time, etc.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
new-containers_dataset,
title = { New containers Dataset },
type = { Open Source Dataset },
author = { Project },
howpublished = { \url{ https://universe.roboflow.com/project-ka8v8/new-containers } },
url = { https://universe.roboflow.com/project-ka8v8/new-containers },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { oct },
note = { visited on 2024-11-21 },
}