Open and Closed Eye Images for Computer Vision Tasks

A dataset of images designed for computer vision and machine learning tasks focused on recognizing and distinguishing between open and closed eyes. The dataset was created by author MichalMlodawski and was last updated on July 20, 2024. It is stored in Parquet files for efficient access.

Use Cases

• Train image classification models to detect open eyes based on the described image content.
• Develop facial landmark detection systems that incorporate eye state recognition.
• Build computer vision applications for driver drowsiness monitoring using the eye state categories.
• Create assistive technology tools that respond to user eye movements or blinks.

Strengths

• Dataset is specifically designed for the concrete task of recognizing open and closed eyes.
• Data is stored in Parquet format, which suggests efficient storage and access capabilities.
• Last update timestamp of 2024-07-20 13:18:07 is provided.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Freshness

Last updated 2024-07-20 13:18:07.