Scenerio-Based Image Generation Using Deep Learning

Abstract

Regardless of the contents of the image, this model can determine its scenario. It works with open CV, Natural Language Processing, and websites. This system does a dictionary search on the image and displays the required results. Any type of image that the user possesses can be given the appropriate context. The computer's eyesight has made incredible strides in recent years. Using the latest technology, object detection is now simple and produces precise results. On the basis of the photograph, the goal is to create an exact situation. User-provided photographs may be utilised in a variety of online educational technology platforms to visualise and learn as well as for image searches. Resnet-50 algorithm is used and ResNet-50 is a convolution neural network that is 50 layers deep. You can load a pretrained version of the neural network trained on more than a million images from the ImageNet database we first encrypt the picture and the words that are kept in the scenario dictionary before the user searches using the image that he has. It will match the user-provided picture and the scenario dictionary after being encoded. After completing this procedure, it will discover the precise situation depicted in the image.