Image Captioning Using Deep Learning

The process of image labelling is a common technique used to understand the contents of a photo. One way of providing context to a photo is through image captioning. Image labelling is crucial for a variety of applications, such as analyzing large amounts of unidentified photos or identifying patterns for machine learning tasks like guiding self-driving cars. Other applications include developing tools to assist people with disabilities. Deep learning models can be utilized to generate image captions. Recent advancements in natural language processing and deep learning have made it easier to generate captions for specific images. An LSTM network serves as an encoder to generate image captions using the image features and language. On the other hand, Convolutional Neural Networks like VGG16 and ResNet50 are used to decode images and retrieve information.