Android UI Detection Images for YOLOv8 Object Detection

An image dataset for object detection of Android user interface elements, annotated for use with the YOLOv8 model. The dataset is tagged for Image, Object Detection, Android, and Synthetic data applications. The author is yasirfaizahmed and it was last updated in August 2025.

Use Cases

• Train a YOLOv8 model on Android UI images to detect and classify interface elements like buttons or text fields.
• Fine-tune an object detection pipeline on synthetic Android UI data to improve model generalization for mobile applications.
• Analyze the distribution and characteristics of UI elements within the annotated image set.

Strengths

• Dataset is specifically formatted for the YOLOv8 object detection architecture.
• Includes tags for multiple relevant domains: Image, Object Detection, Android, and Synthetic data.
• Last updated in August 2025, indicating recent maintenance.

Limitations

• Critical metadata is unknown, including row count (number of images), column structure, file formats, and license.
• Sample data is unavailable, preventing assessment of annotation quality, class balance, or image characteristics.
• The description is a template with many fields marked '[More Information Needed]', suggesting incomplete documentation.

Provenance

Source

huggingface

Freshness

2025-08-01