PPEs Computer Vision Dataset
About PPEs Dataset
Personal Protective Equipment Dataset and Model
This dataset is a collection of images that contains annotations for the classes below:
- goggles
- helmet
- mask
- no-suit
- no_goggles
- no_helmet
- no_mask
- no_shoes
- shoes
- suit
- no_glove
- glove
Usage
Most of these classes are underrepresented and would need to be balanced for better detection. An improved model can be utilized for use cases that'll detect the classes above in order to minimize exposure to hazards that cause serious workplace injuries.
Use Free Helmet, Mask and Glove 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": "helmet, mask, glove, goggles, 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
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{ ppes-kaxsi-v4bep_dataset,
title = { PPEs Dataset },
type = { Open Source Dataset },
author = { RamcoMills },
howpublished = { \url{ https://universe.roboflow.com/ramcomills/ppes-kaxsi-v4bep } },
url = { https://universe.roboflow.com/ramcomills/ppes-kaxsi-v4bep },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { feb },
note = { visited on 2026-07-29 },
}