SubData Object Detection Dataset and Pre-Trained Model by test

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Explore Dataset

Here are a few use cases for this project:

Underwater Crime Scene Investigation: SubData can assist law enforcement agencies in analyzing underwater photographic evidence, identifying relevant objects, and reconstructing crime scenes involving underwater environments.
Underwater Cleanup and Debris Detection: SubData can be used to identify and locate debris, such as bin1 and bin2, helping in the precise planning of underwater cleanup activities, and ensuring the removal of harmful objects to protect marine life.
Salvage Operations and Recovery: SubData can help salvage teams in locating valuable items, such as money or historical artifacts, by accurately identifying them in underwater images, speeding up the recovery process.
Underwater Robotics and Automation: SubData can be implemented in underwater robots, such as remotely operated vehicles (ROVs) or autonomous underwater vehicles (AUVs), to enhance their ability to navigate and interact with objects in their environment, e.g., handling suspicious underwater items or assisting in evidence collection.
Underwater Set Design and Film Production: SubData can be utilized by film and media professionals to analyze underwater set designs, ensuring proper placement and visibility of key props, like guns and badges, and creating realistic scenes for optimal viewer engagement.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            subdata_dataset,
                            title = { SubData Dataset },
                            type = { Open Source Dataset },
                            author = { test },
                            howpublished = { \url{ https://universe.roboflow.com/test-i18uz/subdata } },
                            url = { https://universe.roboflow.com/test-i18uz/subdata },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-27 },
                            }