sugarbox_detectionv2 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{
sugarbox_detectionv2_dataset,
title = { sugarbox_detectionv2 Dataset },
type = { Open Source Dataset },
author = { AI Sugar crystal size estimation },
howpublished = { \url{ https://universe.roboflow.com/ai-sugar-crystal-size-estimation/sugarbox_detectionv2 } },
url = { https://universe.roboflow.com/ai-sugar-crystal-size-estimation/sugarbox_detectionv2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-05-06 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the sugarbox_detectionv2 project in your project.
Similar Projects
sugar
31 images
Muni
50 images
1-NEW-BARN
49 images
2-NEW-BARN
50 images