Hand Images for Glove Detection, 2,300 Images

A binary image classification dataset containing 2,300 images of hands with and without gloves. The dataset is hosted on Kaggle, but the author, organization, and creation date are unknown.

Use Cases

• Train a binary classifier to detect the presence of gloves on hands based on the image content.
• Benchmark model performance on a focused visual classification task.
• Fine-tune a pre-trained vision model for a specific safety or compliance application.

Strengths

• Contains 2,300 images, providing a moderate-sized corpus for model training.
• Focuses on a clear binary classification task (glove vs. no glove).

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Collection method is not described.

Time Range

Temporal coverage is unknown.

Freshness

Last updated date is unknown; freshness unverified.

Geography

Spatial coverage is unknown.