MRL Infrared Eye Images Dataset

MRL Infrared Eye Images Dataset

Datasets

MRL Infrared Eye Images Dataset

File

MRL Infrared Eye Images

Use Case

Computer Vision

Description

Discover the MRL Infrared Eye Images Dataset with 85,000+ images for drowsiness detection, gaze analysis, and computer vision research.

MRL Infrared Eye Images Dataset

Description:

The MRL Infrared Eye Images Dataset (Forked Version) is an enhanced resource tailored for cutting-edge computer vision applications. This dataset includes over 85,000 infrared eye images categorized into Awake and Sleepy states, making it ideal for research and development in areas like drowsiness detection, gaze estimation, and blink analysis.

Key Features of the Dataset

Comprehensive Dataset Structure

The dataset is neatly organized into training, validation, and test sets, facilitating seamless implementation in machine learning pipelines:

  • Training Set: Awake (25,770), Sleepy (25,167)
  • Validation Set: Awake (8,591), Sleepy (8,389)
  • Test Set: Awake (8,591), Sleepy (8,390)

Directory Structure

The dataset follows an intuitive directory tree, ensuring ease of navigation and reproducibility:

  • data/
  • train/
  • awake/
  • sleepy/
  • val/
  • awake/
  • sleepy/
  • test/
  • awake/
  • sleepy/

Rich Metadata

Each image is accompanied by detailed metadata to enhance analysis and customization:

  • subject_id: Unique identifier for 37 subjects
  • Attributes: Eye state, gender, presence of glasses, reflections, lighting conditions, and sensor ID

Applications of the Dataset

  1. Drowsiness Detection: Train models to identify sleepy states for automotive and workplace safety.
  2. Gaze Estimation: Analyze gaze directions and improve accessibility solutions.
  3. Blink Detection: Develop systems for blink frequency analysis in healthcare or UX studies.
  4. Computer Vision Research: Use this dataset for advanced studies in infrared imaging and eye state classification.

Advantages of the Forked MRL Eye Dataset

  • Diverse Conditions: Images captured under various lighting and sensor setups improve model robustness.
  • Categorical Organization: Clearly labeled Awake and Sleepy states streamline supervised learning tasks.
  • Rich Metadata: Comprehensive attributes support deeper analysis and targeted model training.
  • Compatibility: The dataset is suitable for various deep learning frameworks and machine learning applications.

Original Dataset Overview

The original MRL Eye Dataset is a large-scale collection of 84,898 human eye images designed for foundational computer vision tasks like eye detection and blink detection. The forked version builds on this foundation, introducing enhancements for drowsiness analysis and other critical applications.

Start Your Research Today

Download the MRL Infrared Eye Images Dataset (Forked Version) to explore groundbreaking applications in drowsiness detection, gaze estimation, and more. Take your computer vision research to the next level!

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