Yolo_work_v1 Computer Vision Dataset
About Yolo_work_v1 Dataset
Here are a few use cases for this project:
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COVID-19 Compliance Monitoring: The model Yolo_work_v1 can be used in public places like malls, restaurants, and airports to monitor the compliance of COVID-19 safety protocols by identifying whether individuals are wearing their masks properly or not.
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Workplace Safety Enforcement: In laboratory settings or manufacturing industries where protective equipment such as coats and glasses are mandatory, this model can be used to ensure all personnel have their safety gears on before entering hazardous areas.
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Health Hygiene Practices Education: In educational or training contexts, the model can be used to create interactive lessons or simulations about proper hygiene practices like wearing masks and gargling.
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Automated Access Control Systems: The model can be integrated into access control or security systems to grant or deny access based on whether an individual is following the required dress code, such as wearing a lab coat in a scientific laboratory.
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Telemedicine and Health Apps: The model can be incorporated into telemedicine applications or health apps to guide users in donning appropriate safety gear for at-home medical procedures or tests. For example, it can instruct and check if a user has properly worn a mask or eye protection before starting an at-home COVID-19 test.
Use Free Coat_half, Coat_off and Coat_on Detection API
Powered by general detection model
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": "coat_half, coat_off, coat_on, gargle_on, glass_off gargle_off"
},
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
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{ yolo_work_v1_dataset,
title = { Yolo_work_v1 Dataset },
type = { Open Source Dataset },
author = { [email protected] },
howpublished = { \url{ https://universe.roboflow.com/623924904-qq-com/yolo_work_v1 } },
url = { https://universe.roboflow.com/623924904-qq-com/yolo_work_v1 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { nov },
note = { visited on 2026-07-29 },
}