Description of Image Using Deep Learning

Computer vision and natural language processing (NLP) are used in artificial intelligence (AI) to automatically create the description of contents of an image. A regenerative neuronal model is developed for this purpose. It depends on machine translation and computer vision. This model is designed to produce natural sentences that finally explain about the image. Convolution neural networks (CNN) and recurrent neural networks (RNN) make up this model. The CNN is used to extract picture features, and the RNN is used to generate sentences. The model has been trained to produce descriptions that almost exactly describe the given input image. Various datasets are used to test the model's precision, smoothness, and linguistic proficiency after learning from image descriptions. These tests demonstrate that the model frequently describes an input image accurately.