visual
Datasets
All datasets matching “visual”XLRS-Bench_visual_grounding_en
🐙GitHub
Information or evaluatation on this dataset can be found in this repo: https://github.com/AI9Stars/XLRS-Bench
📜Dataset License
Annotations of this dataset is released under a Creative Commons Attribution-NonCommercial 4.0 International License. For images from:
DOTARGB images from Google Earth and CycloMedia (for academic use only; commercial use is prohibited, and Google Earth terms of use apply).
ITCVDLicensed under CC-BY-NC-SA-4.0.
MiniFrance… See the full description on the dataset page: https://huggingface.co/datasets/initiacms/XLRS-Bench_visual_grounding_en.avspeech-visual-audio
AVSpeech Video + Audio
This repository is a media-bearing reconstruction of the public AVSpeech
annotations. Each row represents an already-trimmed segment and keeps the
original source-video timing and target-face-center metadata.
Dataset structure
clip_id: identifier derived as
{youtube_id}_{start_sec:.3f}_{end_sec:.3f}.
avspeech_metadata: JSON containing youtube_id, start_sec, end_sec,
x_center, and y_center from the AVSpeech annotation.
video: video-only… See the full description on the dataset page: https://huggingface.co/datasets/ProgramComputer/avspeech-visual-audio.trex-visualizer
T-Rex Dataset Visualizer
A browseable subset of the T-Rex dataset — Tactile-Rich Bimanual Dexterous
Manipulation — collected on a bimanual Dexmate Vega-1 robot equipped with
two Sharpa Wave dexterous hands.
This visualizer subset contains 3,838 short trajectory clips drawn from the
full 100-hour T-Rex collection, organized by (verb, object, hand) so you can
quickly inspect coverage across motion primitives and object categories.
For the full dataset (multi-view RGB, robot… See the full description on the dataset page: https://huggingface.co/datasets/Beakerman0101/trex-visualizer.institutional-books-hl-visual-elements
📚 Institutional Books: Harvard Library — Visual Elements
22 million visual elements extracted from the volumes that comprise the Institutional Books: Harvard Library dataset.
22,622,060 visual elements extracted from 983,004 volumes
766,992,447 o200k_base tokens in AI-generated captions
6 high-level classes of visual elements organized in splits
5 processing steps: Detection, Classification, Deduplication, Captioning, and Rotation
The Institutional Data Initiative at Harvard… See the full description on the dataset page: https://huggingface.co/datasets/institutional/institutional-books-hl-visual-elements.Visual-CoT
VisCoT Dataset Card
There is a shortage of multimodal datasets for training multi-modal large language models (MLLMs) that require to identify specific regions in an image for additional attention to improve response performance. This type of dataset with grounding bbox annotations could possibly help the MLLM output intermediate interpretable attention area and enhance performance.
To fill the gap, we curate a visual CoT dataset. This dataset specifically focuses on identifying… See the full description on the dataset page: https://huggingface.co/datasets/deepcs233/Visual-CoT.visual_robust_robocasa_x