What is the methodology of image captioning using Flickr 8k?

The methodology of image captioning using Flickr 8k involves a multi-step process to generate descriptions for images from the Flickr 8k dataset. The first step is to extract features from the images using pre-trained convolutional neural networks (CNNs) such as VGG16 or ResNet. These features capture the visual information present in the images. Next, a language model like LSTM (Long Short-Term Memory) is trained on the captions associated with the images. This model learns to generate meaningful and coherent sentences. Then, the generated image features and text features are combined in a joint representation. Finally, this joint representation is used to train a neural network to predict captions for new images. The model is trained using a combination of loss functions such as cross-entropy loss and ranking loss. Overall, the methodology of image captioning using Flickr 8k combines CNNs for visual feature extraction, LSTM language models for sentence generation, and neural network training with joint representations to generate accurate and descriptive captions for images.

This mind map was published on 19 September 2023 and has been viewed 50 times.