Uma Karanje, Pratik Salunkhe, Sujit Kavitake, Uday Sonaje, Swapnil Gawali 07 09 Tasks involving the discovery of targets visible in underwater photographs are referred to as underwater target detection tasks In contrast to conventional target identification tasks the effect of target detection will be impacted by underwater targets due to issues like illumination camera motion complicated background interference and the diversification of target kinds The identification of underwater targets is a crucial component of national military security Deep learning based technology for underwater target detection has advanced significantly in recent years but there are still certain issues such as features and contours that are not immediately evident We provide a target detection technique based on deep learning and picture enhancement The YOLO v4 algorithm first improves the contrast of the picture data to acquire a better target detection performance and then it employs a deep learning approach to distinguish the target from the background The algorithm can produce superior detection performance according to experimental data Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved 2026