Universe

Driver's dectection Computer Vision Dataset

byDriver DectectionTask:
Object Detection
License:CC BY 4.0857 views36 downloads
See all 5k imagesDriver's dectection hand sample showing hand, phone, wheelDriver's dectection hand sample showing cup, hand, wheelDriver's dectection hand sample showing hand, phone, wheelDriver's dectection hand sample showing hand, phone, wheelDriver's dectection hand sample showing hand, wheelDriver's dectection hand sample showing hand, phone, wheelDriver's dectection hand sample showing hand, phone, wheelDriver's dectection hand sample showing hand, phone, wheelDriver's dectection hand sample showing hand, wheelDriver's dectection hand sample showing hand, wheelDriver's dectection hand sample showing hand, phone, wheelDriver's dectection hand sample showing cup, hand, phone, wheel

About Driver's dectection Dataset

Here are a few use cases for this project:

  1. "Distracted Driving Prevention": This model can be used in safety applications to identify and alert drivers who are not focusing on the road. By identifying whether the driver's hand is on the wheel, phone, or holding a cup, it can help to monitor and prevent distracted driving.

  2. "Consumer Behavior Analysis in Autonomous Cars": As self-driving vehicles grow in popularity, this model can be used to collect data on how users spend their time when not driving. Identifying how often they use their phone or drink from a cup could contribute to designing more useful and ergonomic interiors.

  3. "Driver Monitoring System (DMS)": The model can be integrated into driver monitoring systems to ensure the driver's attention during manual or assisted driving. By recognizing if the driver's hand is on the wheel or elsewhere, it can contribute to safety measures like engaging an autopilot or issuing a warning sound if the driver is not holding the wheel.

  4. "Thumbnail Generation for Driving Video Clips": The model can be used in media to automatically generate relevant thumbnails for video clips. By identifying key frames where the driver's hand is clearly visible on the wheel, a phone, or a cup, it can generate thumbnails that are informative about the content of the video.

  5. "Data Collection for Ergonomic Studies": The model can contribute to ergonomic studies by collecting data on how drivers naturally position their hands while driving. This could provide valuable information for the design of more ergonomic car interiors or driving assist devices.

Use Free Cup, Hand and Phone 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": "cup, hand, phone, wheel"
  },
  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{ driver-s-dectection_dataset,
  title = { Driver's dectection Dataset },
  type = { Open Source Dataset },
  author = { Driver Dectection },
  howpublished = { \url{ https://universe.roboflow.com/driver-dectection/driver-s-dectection } },
  url = { https://universe.roboflow.com/driver-dectection/driver-s-dectection },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { apr },
  note = { visited on 2026-07-29 },
}

Similar Projects

See More