Meals Recognition Computer Vision Dataset
About Meals Recognition Dataset
A description for this project has not been published yet.
Use Free Black Fungus in Vinegar Sauce, Cucumber in Sauce and Fried cauliflower Detection API
Powered by general detection model
Code
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "Black Fungus in Vinegar Sauce, Cucumber in Sauce, Fried cauliflower, Lotus root, PeaCornCarrot"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Detecting classes:
Or try a test image
Roboflow Agent
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ meals-recognition_dataset,
title = { Meals Recognition Dataset },
type = { Open Source Dataset },
author = { food rec },
howpublished = { \url{ https://universe.roboflow.com/food-rec/meals-recognition } },
url = { https://universe.roboflow.com/food-rec/meals-recognition },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2026-07-29 },
}