01139nam a2200145Ia 4500 231221s9999 xx 000 0 und d English CPCS19-1854 Tanay Gangey. Hardik Gourisaria. Akhilarka Jayanthi. Rama Dev P. Shylaja S S. Generating Captions for Underwater Images Using Deep Learning Models 2019 Image captioning is a small yet important domain lying under the vast subject of Scene Understanding. Our work focusses on the generation of annotations for Underwater images in natural language. A new underwater image dataset, namely PESEmphasis5k, has been created and captioned. Our model using different variations of CNNs, LSTMs, and GRUs, when trained on our new dataset, generates captions with good accuracy. Alongside this, we introduce Parameter Wise Tally Checker as a new evaluation metrics for analyzing and evaluating models and demonstrate its usage on our captioning model. Deep Learning, Convolutional Neural Networks, Recurrent Neural Network, Long Short-Term Memory, Gated Recurrent Units, Image Captioning IR 236574 236574 2024-01-26 00:00:00 0 CPCS19-1854 IR1854 https://www.researchgate.net/publication/331221798_Generating_Captions_for_Underwater_Images_Using_Deep_Learning_Models 2024-01-26 IR 0 0 0 CL 0 ML ML CL 0000-00-00 CS RS 1 0