vesselDetection Computer Vision Project

cuize

Updated 8 months ago

489

views

26

downloads
Classes (45)
commercial cargo
commercial cargo/backlit
commercial cargo/blurry
commercial cargo/distant
commercial large fishing
commercial large fishing/blurry
commercial large passenger
commercial large passenger/blurry
commercial small
commercial small/backlit
commercial small/blurry
non-commercial large
non-commercial large/backlit
non-commercial large/blurry
non-commercial large/distant
non-commercial medium
non-commercial medium/backlit
non-commercial medium/blurry
non-commercial medium/distant
non-commercial sailing
non-commercial sailing/backlit
non-commercial sailing/blurry
non-commercial sailing/distant
non-commercial small
non-commercial small/backlit
non-commercial small/blurry
non-commercial small/dinghy
non-commercial small/dinghy/blurry
non-commercial small/dinghy/distant
non-commercial small/distant
non-commercial small/human powered
non-commercial small/human powered/blurry
non-commercial small/human powered/distant
other
other/backlit
other/blurry
other/tow
other/tow/backlit
other/tow/blurry
tug
tug/backlit
tug/blurry
tug/distant
unknown
unknown/distant

Metrics

Try This Model
Drop an image or
Description

Here are a few use cases for this project:

  1. Maritime Traffic Monitoring: The vesselDetection model can be used for real-time monitoring of maritime traffic in harbors, ports, and coastal areas, detecting different types and conditions of vessels to facilitate navigation and coordination for authorities.

  2. Search and Rescue Operations: The model can improve search and rescue efforts by identifying different classes of vessels in challenging conditions, such as blurry or foggy scenarios, helping authorities focus their resources on vessels in distress or those in need of assistance.

  3. Environmental Applications: By identifying commercial cargo and fishing vessels, the model can be used for monitoring and enforcing marine protected areas or observing fishing activities, helping to combat illegal fishing practices and promote sustainable fisheries management.

  4. Port and Harbor Management: vesselDetection can be integrated into port and harbor surveillance systems, improving the performance of activity identification, monitoring of loading and unloading activities, and ensuring appropriate docking of various vessel types.

  5. Coastal Security and Surveillance: The model can be used for detecting and tracking vessels involved in illegal activities or unauthorized entry into restricted coastal areas, assisting authorities in maintaining coastal security and ensuring the safety of maritime activities.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            vesseldetection-dhmgv_dataset,
                            title = { vesselDetection Dataset },
                            type = { Open Source Dataset },
                            author = { cuize },
                            howpublished = { \url{ https://universe.roboflow.com/cuize/vesseldetection-dhmgv } },
                            url = { https://universe.roboflow.com/cuize/vesseldetection-dhmgv },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-09-26 },
                            }