Layout
Datasets
All datasets matching “Layout”synthetic_data_v5_finegrain_layout_relight_with_our_synthetic_data_coco_l_full_500kSQuADDS_Layouts
SQuADDS Layouts - versioned GDS artifacts for superconducting quantum hardware
SQuADDS Layouts is the geometry-artifact companion to
SQuADDS_DB, the
Superconducting Qubit And Device Design and Simulation Database. It provides
checksum-verified GDS files, stable geometry identities, and machine-readable
geometry metadata so a simulation result can be traced to the exact layout
that produced it.
Homepage: https://lfl-lab.github.io/SQuADDS/
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/SQuADDS/SQuADDS_Layouts.blender-3d-layout-v2-720p
Blender 3D Layout — 720p comparison groups (release v3.1)
Synthetic multi-view renders of objects placed into real Blender scenes, built so
that a change to the layout can be isolated: every camera pose is rendered
for the base layout, with one object moved, with an extra object added, and with
one object rotated in place — with the same camera matrix each time. Each
layout also comes with a box-orientation prompt in the style of BoxCtrl: every
object's 3D box drawn on a white… See the full description on the dataset page: https://huggingface.co/datasets/3d-layout/blender-3d-layout-v2-720p.LayoutSAM
LayoutSAM Dataset
Overview
The LayoutSAM dataset is a large-scale layout dataset derived from the SAM dataset, containing 2.7 million image-text pairs and 10.7 million entities. Each entity is annotated with a spatial position (i.e., bounding box) and a textual description.
Traditional layout datasets often exhibit a closed-set and coarse-grained nature, which may limit the model's ability to generate complex attributes such as color, shape, and texture.… See the full description on the dataset page: https://huggingface.co/datasets/HuiZhang0812/LayoutSAM.funsd-layoutlmv3Orchestra_Layout_Dataset
Orchestral Score Layout Dataset
Ground-truth annotations for staff layout detection in orchestral music scores, covering two Tchaikovsky symphonies.
Contents
dataset_layout/
├── Tchai_4.pdf # Source PDF — Tchaikovsky Symphony No. 4
├── Tchai_4/ # Page images (PNG, one per page)
├── Tchai_4_csv_gt/ # Per-page CSV ground truth for Tchai_4
│
├── Tchai_6.pdf # Source PDF — Tchaikovsky Symphony No. 6
├── Tchai_6/… See the full description on the dataset page: https://huggingface.co/datasets/BowenC/Orchestra_Layout_Dataset.
