- Image Captioning and Tagging Using Deep Learning Models🔍
- Deep Learning🔍
- Image Captioning🔍
- Image captioning model using attention and object features to mimic ...🔍
- Deep Learning Approaches on Image Captioning🔍
- Image Caption Generation using Deep Learning🔍
- What are 10|15 applications of image captioning🔍
- Image Caption Generator using Deep Learning on Flickr8K dataset🔍
Image Captioning and Tagging Using Deep Learning Models
Image Captioning and Tagging Using Deep Learning Models
Image captioning technology is being used in AI app development with other AI technologies as well. For instance, DeepLogo is a neural network ...
Deep Learning: Create Smart Image Captions in Seconds
It includes labeling an image with English keywords with the help of datasets provided during model training. The imagenet dataset trains the ...
Image Captioning - A Deep Learning Approach Using CNN and ...
The process of using datasets to train the model to assign English language labels or descriptors to an image is known as image tagging. Tagging helps ...
Image captioning model using attention and object features to mimic ...
... image captioning has focused on deep learning techniques, especially Encoder-Decoder models with Convolutional Neural Network (CNN) feature ...
Deep Learning Approaches on Image Captioning: A Review
Having considered reinforcement learning (RL) as a method to improve image captioning performance, they have trained their model with cross-entropy loss and ...
Image Caption Generation using Deep Learning - GitHub
The system leverages a pretrained VGG16 model for feature extraction and a custom captioning model which was trained using LSTM for generating captions. The ...
What are 10-15 applications of image captioning, Deep Learning?
The current state-of-the-art model for image caption generation is OpenAI's CLIP (Contrastive Language–Image Pre-Training) combined with GPT-4.
Image Caption Generator using Deep Learning on Flickr8K dataset
Generating a caption for a given image is a challenging problem in the deep learning domain. In this article, we will use different ...
Image Caption Generation Using Deep Learning Algorithm
This study investigates the effectiveness of an image captioning model utilizing. VGG16 and LSTM architectures on the Flickr8K dataset. Through meticulous.
Image Captioning using deep learning (flicker8k dataset) - YouTube
being tackled using deep learning. Despite the recent progress made in the field, current image captioning models still have a long way to ...
(PDF) Image Caption Generation Using Deep Learning Algorithm
By bridging the semantic gap between visual content and textual descriptions, image captioning models can enhance accessibility, improve image ...
Image Captioning in Deep Learning | Built In
It uses both natural language processing (NLP) and computer vision to generate the captions. What Is Image Captioning? Image captioning is the ...
Compressed Image Captioning using CNN-based Encoder-Decoder ...
The model combines computer vision and natural language processing techniques, specifically utilizing convolutional neural networks (CNN) and ...
Image Captioning - an overview | ScienceDirect Topics
Image captioning is a process in deep learning where an image is described using text. It involves using a convolutional neural network (CNN) to extract ...
CPU-based Image Captioning Pipelines with Deep Learning and Ray
The original code for this project, inspired by work on image captioning using the COCO (Common Objects in Context) dataset, leveraged ...
Image Based Action Recognition and Captioning Using Deep ...
The paper then explores the capabilities of deep learning in image captioning, using a pre-trained RESNET50 and VGG16 model for feature ...
Image Caption Generator using CNN and LSTM - Kaggle
Computer vision researchers worked on this a lot and they considered it impossible until now! With the advancement in Deep learning techniques, ...
Zero-Shot Image Tagging: Harnessing AI for Efficient and Flexible ...
By associating visual features with textual descriptions, these models can capture more nuanced and abstract visual concepts, enabling more ...
An image caption model based on attention mechanism and deep ...
In recent years, the performance of image caption has been significantly enhanced with the introduction of encoder-decoder architecture in machine translation ...
(PDF) Deep Learning Approaches for Image Captioning
Much of the research has focused on image captioning, which involves describing images with meaningful sentences. Typically, when generating ...