Roboflow Universe FH PathFinderByYolo

PathFinderByYolo Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

71 images

Explore Dataset

General

"PathFinder by Yolo" is an academic project combining several inputs to calculate the most efficient path between two points.

Model

The model contains sand objects (incl. cubes, ...) standing on a "sand table" like object. All these objects serve different purposes in our application, like hindurances and start/end points.

Algorithm

To calculate the path, a customised version of Dijkstra's algorithm is applied. Initialised with YOLO's results, it efficiently processes a separately received height map and draws an output path.

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{
                            pathfinderbyyolo_dataset,
                            title = { PathFinderByYolo Dataset },
                            type = { Open Source Dataset },
                            author = { FH },
                            howpublished = { \url{ https://universe.roboflow.com/fh-kxoka/pathfinderbyyolo } },
                            url = { https://universe.roboflow.com/fh-kxoka/pathfinderbyyolo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-05-23 },
                            }