83 datasets found

A large dataset of captions for images.

A dataset of web-curated image-text data created by the people, for the people.

A dataset of Creative-Commons-licensed images, which is used to train a set of open diffusion models that are qualitatively competitive with Stable Diffusion 2 (SD2).

The dataset used in this paper is a multimodal large language model (LLaMM) dataset, specifically POPE, which consists of 7 billion parameters and is used for multimodal tasks...

The dataset used in this paper is a multimodal large language model (LLaMA) dataset, specifically LLaVA-1.5, which consists of 7 billion parameters and is used for multimodal...

The dataset used in the paper is YFCC100M, a large-scale video dataset. The dataset is used for foreground and background patch extraction and object recognition tasks.

Conceptual captions dataset used in the paper

The GELLA framework leverages a large language model to ground entities with long captions.

Object detection is a fundamental task in computer vision, requiring large annotated datasets that are difficult to collect.

The Amazon Berkeley Objects Dataset (ABO) is a public available e-commerce dataset with multiple images per product.

The MS COCO captions dataset contains captions for images in the Microsoft COCO dataset.

The CUB captions dataset contains captions for images in the Caltech-UCSD Birds 200 dataset.

The COCO dataset is a large-scale dataset for object detection, semantic segmentation, and captioning. It contains 80 object categories and 1,000 image instances per category,...

The Visual Genome dataset is a large-scale visual question answering dataset, containing 1.5 million images, each with 15-30 annotated entities, attributes, and relationships.

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

Show and tell: A neural image caption generator.

From show to tell: A survey on deep learning-based image captioning.

The Microsoft COCO dataset was used for training and evaluating the CNNs because it has become a standard benchmark for testing algorithms aimed at scene understanding and...

Image captioning, a fundamental task in vision-language understanding, seeks to generate accurate natural language descriptions for provided images. Current image captioning...

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...