RUOD Dataset: Real-world Underwater Object Detection Images

3.3 GB of standardized and processed underwater imagery for object detection tasks. The dataset was last updated on May 16, 2026, by author 嘉宇 王 and is shared under a CC-BY-4.0 license.

Use Cases

• Train object detection models based on real-world underwater imagery
• Benchmark model performance in challenging aquatic environments based on the processed image data
• Develop applications for underwater search and rescue or infrastructure inspection based on the object detection annotations

Strengths

• Dataset size of 3.3 GB suggests a substantial collection of image data
• Standardized and processed format likely reduces initial preprocessing effort

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Freshness

Last updated 2026-05-16 13:32:35; freshness should be verified