datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
origami-step-by-step-tiny
Origami Step-by-Step Crease Pattern Dataset
A multiview image dataset for training models to infer origami crease patterns from 3D visualizations, one fold at a time.
Task
Given 14 camera views of a partially-folded origami sheet, predict the next crease line to add (edge position + mountain/valley assignment).
This mirrors a step-by-step folding process: starting from a blank sheet, each step adds one crease and the model must predict the next one from the current 3D… See the full description on the dataset page: https://huggingface.co/datasets/Origametry/origami-step-by-step-tiny.StepCount-Extreme
StepCount-Extreme
StepCount-Bench v3 的 eval-ready 子集。该仓库用于研究与非商业评测，下载采用 manual gated approval。
数据概览
样本数：1471
数量范围：51–500
每个样本包含：final count、归一化 gt_points、可选 gt_bbox、domain、scene level、ID/OOD category split、source provenance。
数据源：crowdhuman=300, dense200=132, fsc147_test=1, fscd_147=300, fscd_lvis=279, sku110k=300, visdrone_det=159
领域：aerial=159, cluttered_multiclass=279, crowd=300, everyday=301, generic_dense=132, retail=300
坐标契约：gt_points=[x,y]、gt_bbox=[x1,y1,x2… See the full description on the dataset page: https://huggingface.co/datasets/SI-Lab/StepCount-Extreme.StepCount-Dense
StepCount-Dense
StepCount-Bench v3 的 eval-ready 子集。该仓库用于研究与非商业评测，下载采用 manual gated approval。
数据概览
样本数：1229
数量范围：11–50
每个样本包含：final count、归一化 gt_points、可选 gt_bbox、domain、scene level、ID/OOD category split、source provenance。
数据源：crowdhuman=300, dense200=67, fsc147_test=1, fscd_147=300, fscd_lvis=300, sku110k=9, visdrone_det=252
领域：aerial=252, cluttered_multiclass=300, crowd=300, everyday=301, generic_dense=67, retail=9
坐标契约：gt_points=[x,y]、gt_bbox=[x1,y1,x2… See the full description on the dataset page: https://huggingface.co/datasets/SI-Lab/StepCount-Dense.