LINI Coral Forms 3.0 Computer Vision Project
This project is targeted to be able to monitor coral growth through the detection of the growth forms and the extent of coral growth using segmentation or the bounding boxes area for each detection. The dataset used is based on a collection of coral monitoring data by LINI Foundation in the Les village, Buleleng Regency, Bali, Indonesia.
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.
YOLOv8
This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
lini-coral-forms-3.0_dataset,
title = { LINI Coral Forms 3.0 Dataset },
type = { Open Source Dataset },
author = { LINI Foundation },
howpublished = { \url{ https://universe.roboflow.com/lini-foundation/lini-coral-forms-3.0 } },
url = { https://universe.roboflow.com/lini-foundation/lini-coral-forms-3.0 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { sep },
note = { visited on 2024-04-29 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the LINI Coral Forms 3.0 project in your project.