Binalar 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.
YOLOv5
This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, 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{
binalar-zv1rq_dataset,
title = { Binalar Dataset },
type = { Open Source Dataset },
author = { Akdeniz University },
howpublished = { \url{ https://universe.roboflow.com/akdeniz-university/binalar-zv1rq } },
url = { https://universe.roboflow.com/akdeniz-university/binalar-zv1rq },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-06-27 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Binalar project in your project.
Similar Projects
batiment-maison-jardin-tcaM
290 images
batiment-maison-jardin-tcaM-SlUU
290 images
batiment-maison-jardin
290 images
bina
28 images
bina-agac-tarla
34 images