Neural_Ocean Computer Vision Project

Neural Ocean

Updated 2 years ago

4.2k

views

239

downloads

Metrics

Try This Model

Drop an image or

browse your device

Description

The project aims to develop an image processing solution for detecting underwater debris and garbage using the Yolo V8 deep learning algorithm. The images used for this project will be preprocessed to remove noise using the Dark Channel Prior approach described in the research paper "Single Image Haze Removal Using Dark Channel Prior" by Kaiming He, Jian Sun, and Xiaoou Tang.Link to the Research Paper

Use This Trained Model

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

Try In Browser Deploy Model

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{
                            neural_ocean_dataset,
                            title = { Neural_Ocean Dataset },
                            type = { Open Source Dataset },
                            author = { Neural Ocean },
                            howpublished = { \url{ https://universe.roboflow.com/neural-ocean/neural_ocean } },
                            url = { https://universe.roboflow.com/neural-ocean/neural_ocean },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-11-21 },
                            }