drowsiness-frames-32x32 is a dataset of image frames likely related to detecting drowsiness or fatigue. The dataset is hosted on Kaggle, but its author, organization, and creation date are unknown. Its specific content, such as the number of images or their source, requires verification after download.
Use Cases
- Train a convolutional neural network for drowsiness classification from facial images (inferred from domain, verify after download)
- Benchmark real-time alertness detection algorithms (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a major platform for data science resources.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.