Underwater Shrimp Monitoring Dataset

The datasets curated in this study are designed to advance generalized research in underwater computer vision, object detection, and intelligent aquatic monitoring. Each dataset encapsulates the complex, real-world conditions encountered during underwater video analysis, reflecting variations in illumination, signal quality, spatial geometry, and object movement. These datasets are vital for benchmarking and developing algorithms for robust feature extraction, noise-resilient detection, and adaptive processing in highly dynamic, low-visibility underwater environments. They are applicable not only to shrimp detection but also to broader domains such as marine organism monitoring, underwater robotics, habitat assessment, and environmental surveillance, thereby supporting the next generation of smart aquatic systems.