Kitchen Intelligent Assistant Computer Vision Project
This is a project that identifies hospital food. Food recorded every day in a 21 day cycle and over 120+ classes/meals are collected. In a day, a total of 4 classes are collected; 1 main dish and 3 side dishes. This will help automate food recordings in the hospital.
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{
kitchen-intelligent-assistant_dataset,
title = { Kitchen Intelligent Assistant Dataset },
type = { Open Source Dataset },
author = { STUST K Lab },
howpublished = { \url{ https://universe.roboflow.com/stust-k-lab/kitchen-intelligent-assistant } },
url = { https://universe.roboflow.com/stust-k-lab/kitchen-intelligent-assistant },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2024-04-29 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Kitchen Intelligent Assistant project in your project.