dataset_object Computer Vision Project

DETECTION

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Description

Here are a few use cases for this project:

  1. Maritime Traffic Monitoring: The "dataset_object" model can be used for managing maritime traffic, allowing authorities to monitor the types of ships traversing certain sea routes. It will provide information about the ship category to ensure the safe and efficient flow of traffic.

  2. Ship Recognition for Military Defense: The model can play a critical role in defense systems, enabling automated recognition of enemy vessels and distinguishing them from friendly or neutral ships.

  3. Port Administration: The model could be useful in administering seaport activities. Identifying types of ships incoming in a harbor will aid in optimizing docking assignments and cargo management.

  4. Search and Rescue Operations: During search and rescue missions, particularly in vast seas and oceans, identifying the class of ship in distress is crucial. The "dataset_object" can assist by providing precise recognition capabilities.

  5. Maritime Research: The model could be used by researchers studying the proliferation and distribution of different types of ships across the world. Data gathered from this can aid in understanding the global ship trade distribution patterns.

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{
                            dataset_object-bsww3_dataset,
                            title = { dataset_object Dataset },
                            type = { Open Source Dataset },
                            author = { DETECTION },
                            howpublished = { \url{ https://universe.roboflow.com/detection-udblt/dataset_object-bsww3 } },
                            url = { https://universe.roboflow.com/detection-udblt/dataset_object-bsww3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-11-23 },
                            }