RoboSub 2022 Dataset Object Detection Dataset and Pre-Trained Model by RoboSub 2022

Images

5227 images

Explore Dataset

Here are a few use cases for this project:

Autonomous Underwater Vehicle (AUV) Navigation: The model could be crucial in enabling AUVs to accurately identify and differentiate specific underwater objects such as gates and buoys, thereby aiding in navigation.
Underwater Object Detection for Salvage Operations: The model can aid divers or underwater drones in salvage operations by identifying gates and buoys, even in blurry underwater conditions.
Underwater Research and Conservation: The model can be employed in underwater exploration, identifying markers placed around underwater sites of interest, especially in research and ecological conservation missions.
Military and Surveillance Applications: The model could be used for underwater surveillance and the detection of unidentified or unmarked objects of interest in military missions.
Training Machine Learning Models: This annotated dataset can be used as a benchmark for training machine learning algorithms geared towards achieving superior underwater object detection performance.

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{
                            robosub-2022-dataset_dataset,
                            title = { RoboSub 2022 Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { RoboSub 2022 },
                            howpublished = { \url{ https://universe.roboflow.com/robosub-2022/robosub-2022-dataset } },
                            url = { https://universe.roboflow.com/robosub-2022/robosub-2022-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-05-10 },
                            }