1
void detection 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{
void-detection-uugnp_dataset,
title = { void detection Dataset },
type = { Open Source Dataset },
author = { sss },
howpublished = { \url{ https://universe.roboflow.com/sss-bisol/void-detection-uugnp } },
url = { https://universe.roboflow.com/sss-bisol/void-detection-uugnp },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-04-29 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the void detection project in your project.
Similar Projects
Void-objects
1821 images
Void-objects
1821 images
blank
4515 images
empty-shelf
770 images
Missing
802 images