datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
UTKFace-geminiUTKFace dataset annotated using Google Gemini.
This dataset only contains annotation and not the image itself. (Json file name corresponds to image file name)
Used model: gemini-pro-vision
Format
{
"sex":male/female,
"attractiveness":very ugly/ugly/normal/attractive/very attractive,
"age":young child/child/adolescent/young adult/adult/young senior/senior/old/very old,
"character":kind/jealous/violent/frienly/playboy/intersting/boring,
"description":string… See the full description on the dataset page: https://huggingface.co/datasets/Aruno/UTKFace-gemini.touch-ex
Touch-Ex: A Region-Level, Force-Annotated Visuo-Tactile Dataset
Developed by Gemma McLean and supervised by Dr Daniel Hao, University of Leicester.
Dataset Summary
Touch-Ex (Touch Exploration) is a region-level, force-annotated visuo-tactile dataset collected using a DIGIT vision-based tactile sensor and a collection of common UK household objects. The dataset was designed to support research in tactile representation learning, force-aware perception… See the full description on the dataset page: https://huggingface.co/datasets/gemixin/touch-ex.gemini-2.5-vs-pro-realism-ai-perception
Gemini 2.5 Flash vs Gemini 3 Pro: Photorealism Comparaison
The dataset quantifies how much better Google's newest image model, Gemini 3 Pro Image, is at generating photorealistic images compared to Gemini 2.5 Flash Image.
This text-to-image benchmark dataset contains 6428 human judgments from annotators across 50+ countries, collected in under 20 minutes using the Rapidata Python API, accessible to anyone and ideal for small to large scale evaluation.
Overview
30… See the full description on the dataset page: https://huggingface.co/datasets/indomar/gemini-2.5-vs-pro-realism-ai-perception.