Universe

Kitchen_Usecases Computer Vision Model

byModeltrainingTask:
Object Detection
License:CC BY 4.0

How to use the Kitchen_Usecases Detection API

Try This Model

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Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="kitchen_usecases-fawxe/2")
Give your agent everything it needs

Or, Use Free Phone, Glove and Apron 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": "phone, glove, apron, hairnet, no_glove"
  },
  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 
See all 7.2k imagesKitchen_Usecases no-hairnet sample showing no_hairnetKitchen_Usecases no-hairnet sample showing no_hairnetKitchen_Usecases no-hairnet sample showing gloveKitchen_Usecases no-hairnet sample showing hairnetKitchen_Usecases no-hairnet sample showing hairnetKitchen_Usecases no-hairnet sample showing no_gloveKitchen_Usecases no-hairnet sample showing apronKitchen_Usecases no-hairnet sample showing phoneKitchen_Usecases no-hairnet sample showing phoneKitchen_Usecases no-hairnet sample showing phoneKitchen_Usecases no-hairnet sample showing no_hairnetKitchen_Usecases no-hairnet sample showing no_hairnet

About Kitchen_Usecases Model

Here are a few use cases for this project:

  1. Food Processing Compliance: The computer vision model can be used to monitor and ensure workers in food processing units are wearing hairnets for compliance with hygiene regulations. It can send alerts or notifications if it detects someone without a hairnet.

  2. Healthcare Facilities: In hospitals and healthcare settings, it could be used to enforce wearing of hairnets in sterile environments such as operating rooms and labs to ensure health and safety regulations are followed.

  3. Cooking Classes and Culinary Schools: The model can be used to ensure students are following proper hygiene and safety guidelines during their practice sessions in kitchens.

  4. Industrial Site Safety: In manufacturing or industrial units where hairnets are part of the mandatory safety gear, the Hairnet model could help to comply with safety standards by detecting workers not wearing hairnets.

  5. Hairnet Manufacturing Quality Control: The model can be utilized in quality control processes for the manufacturing of hairnets themselves – detecting if a finished product is defective or not meeting specifications.

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ kitchen_usecases-fawxe_dataset,
  title = { Kitchen_Usecases Dataset },
  type = { Open Source Dataset },
  author = { Modeltraining },
  howpublished = { \url{ https://universe.roboflow.com/modeltraining-swymm/kitchen_usecases-fawxe } },
  url = { https://universe.roboflow.com/modeltraining-swymm/kitchen_usecases-fawxe },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { dec },
  note = { visited on 2026-07-29 },
}

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