RMIT Rover Autonomous Computer Vision Project
TRY THIS MODEL
Drop an image or
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{
rmit-rover-autonomous_dataset,
title = { RMIT Rover Autonomous Dataset },
type = { Open Source Dataset },
author = { EnderElement },
howpublished = { \url{ https://universe.roboflow.com/enderelement/rmit-rover-autonomous } },
url = { https://universe.roboflow.com/enderelement/rmit-rover-autonomous },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { feb },
note = { visited on 2024-04-29 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the RMIT Rover Autonomous project in your project.
Similar Projects
gg
3041 images
cubes
2713 images
mallets
633 images
Buoys
1012 images
RoboBoat-Competition-Objects
18695 images