datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pamela
PAM∃LA
Personalizing Text-to-Image Generation to Individual Taste
Anonymous submission — author and affiliation details withheld during review.
PAM∃LA is a dataset of AI-generated images rated by human participants for aesthetic quality, built specifically for personalization research. It pairs each rating with rich participant demographics and image metadata, enabling research on personalized aesthetic prediction, demographic variation in visual preference, and reward modelling for… See the full description on the dataset page: https://huggingface.co/datasets/pamela-dataset/pamela.TDC_pampa_approved_drugsPAM-data
Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos
Perceive Anything Model (PAM) is a conceptually simple and efficient framework for comprehensive region-level visual understanding in images and videos. Our approach extends SAM 2 by integrating Large Language Models (LLMs), enabling simultaneous object segmentation with the generation of diverse, region-specific semantic outputs, including categories, label definition, functional explanations… See the full description on the dataset page: https://huggingface.co/datasets/Perceive-Anything/PAM-data.pambpamela-decoracao-sftXLSum_portugueseall-datapameran-lukisanbbc_sinhala