6 datasets found

Groups: Multimodal Learning

Filter Results

  • Crisscrossed Captions

    Crisscrossed Captions (CxC) dataset is a multimodal learning dataset used for training and evaluation of the MURAL model.

  • Conceptual Captions

    The dataset used in the paper "Scaling Laws of Synthetic Images for Model Training". The dataset is used for supervised image classification and zero-shot classification tasks.

  • Conceptual 12m

    Conceptual 12m dataset for automatic image captioning

  • LLaVA-1.5

    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...

  • COCO

    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...

  • MSCOCO

    Human Pose Estimation (HPE) aims to estimate the position of each joint point of the human body in a given image. HPE tasks support a wide range of downstream tasks such as...