working_sleeping_leaving Computer Vision Dataset

by[email protected]Task:
Object Detection
License:CC BY 4.0925 views46 downloads

About working_sleeping_leaving Dataset

Here are a few use cases for this project:

  1. Employee Monitoring System: The model can be employed in office spaces for an automatic monitoring system. It can tag employees as 'working', 'sleeping' or 'leaved' conditions, hence providing insight into the staff's productivity and work-attendance trends.

  2. Smart Surveillance for Business: This model can be employed in various business environments to enhance security. It can be used to identify if employees have left the premises, are still working, or are sleeping on the job.

  3. Assistive Technology for Disabled or Elderly: Using this computer vision model in smart homes could help monitor if disabled or elderly individuals are actively doing tasks, sleeping, or have left the room - providing useful information for caregivers or family members.

  4. Performance Analysis in Co-working Spaces: The model can be utilized in co-working spaces to observe and analyze the patterns of its occupants, helping space managers make more informed decisions based on occupancy and usage rates.

  5. Residential Security System: The model can be integrated into a home security system to track the activities and habits of residents, ensuring their safety by detecting if they've left the house or are asleep.

Use Free Leaved, Sleep and Sleeping 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": "leaved, sleep, sleeping, working"
  },
  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 

Cite This Project

LicenseCC BY 4.0

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

@misc{ working_sleeping_leaving_dataset,
  title = { working_sleeping_leaving Dataset },
  type = { Open Source Dataset },
  author = { [email protected] },
  howpublished = { \url{ https://universe.roboflow.com/0lu0da0ze0-gmail-com/working_sleeping_leaving } },
  url = { https://universe.roboflow.com/0lu0da0ze0-gmail-com/working_sleeping_leaving },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { apr },
  note = { visited on 2026-07-29 },
}

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