Vision
Datasets
All datasets matching “Vision”gpic
GPIC: A Giant Permissive Image Corpus for Visual Generation
Keshigeyan Chandrasegaran*1,
Kyle Sargent*1,
Suchir Agarwal1,
Michael Jang1,
Michael Poli1,2,
Juan Carlos Niebles1,4,
Justin Johnson3,
Jiajun Wu1,
Li Fei-Fei1
1 Stanford University
2 Radical Numerics
3 University of Michigan
4 Salesforce… See the full description on the dataset page: https://huggingface.co/datasets/stanford-vision-lab/gpic.course-assetsEgoBrain
[ICLR 2026] EgoBrain: Synergizing Minds and Eyes For Human Action Understanding
東京大学 The Univerisity of Tokyo X 微軟亞洲研究院 Microsoft Research Asia
Nie Lin
·
Yansen Wang
·
Dongqi Han
·
Weibang Jiang
·
Jingyuan Li
·
Ryosuke Furuta
·
Yoichi Sato*
·
Dongsheng Li*
·
*(Co-corresponding authors)*
This is the official dataset repository of our ICLR 2026 paper "EgoBrain: Synergizing Minds and Eyes For Human Action… See the full description on the dataset page: https://huggingface.co/datasets/ut-vision/EgoBrain.VSI-590K
VSI-590K
Website | Paper | GitHub | Models
Authors: Shusheng Yang*, Jihan Yang*, Pinzhi Huang†, Ellis Brown†, et al.
VSI-590K is a large-scale spatially-focused instruction-tuning dataset focusing on spatial reasoning. The dataset is curated from diverse sources and carefully annotated.
Quick Start
import json
# Load from JSONL file
with open('vsi_590k.jsonl', 'r') as f:
for line in f:
sample = json.loads(line.strip())
print(sample)
break… See the full description on the dataset page: https://huggingface.co/datasets/nyu-visionx/VSI-590K.SenseNova-Vision-Corpus-50M
Vision as Unified Multimodal Generation
English | 简体中文
This repository contains the dataset for the paper Vision as Unified Multimodal Generation.
SenseNova Vision Corpus 50M
Overview
SenseNova Vision Corpus 50M (SN-VC-50M) is a large-scale multimodal vision corpus designed for unified training across diverse visual understanding and geometry-oriented tasks. The dataset is curated to address a common limitation of existing… See the full description on the dataset page: https://huggingface.co/datasets/sensenova/SenseNova-Vision-Corpus-50M.Cambrian-10M
Cambrian-10M Dataset
Please see paper & website for more information:
https://cambrian-mllm.github.io/
https://arxiv.org/abs/2406.16860
Overview
Cambrian-10M is a comprehensive dataset designed for instruction tuning, particularly in multimodal settings involving visual interaction data. The dataset is crafted to address the scarcity of high-quality multimodal instruction-tuning data and to maintain the language abilities of multimodal large language models (LLMs).… See the full description on the dataset page: https://huggingface.co/datasets/nyu-visionx/Cambrian-10M.
