{"url":"/dataset/instaorder","name":"InstaOrder","full_name":null,"description_markdown":"InstaOrder can be used to understand the geometrical relationships of instances in an image. The dataset consists of 2.9M annotations of geometric orderings for class-labeled instances in 101K natural scenes. The scenes were annotated by 3,659 crowd-workers regarding (1) occlusion order that identifies occluder/occludee and (2) depth order that describes ordinal relations that consider relative distance from the camera.","description_withheld":null,"homepage":"https://github.com/POSTECH-CVLab/InstaOrder","introduced_date":"2021-11-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/instance-wise-occlusion-and-depth-orders-in","title":"Instance-wise Occlusion and Depth Orders in Natural Scenes","first_author":"Hyunmin Lee","url":null},"license":{"name":"CC BY 4.0 license","url":null},"modalities":[],"tasks":[{"name":"Visual Question Answering (VQA)","url":"/task/visual-question-answering","datasets_with_task":"/datasets/task/visual-question-answering"},{"name":"Depth Estimation","url":"/task/depth-estimation","datasets_with_task":"/datasets/task/depth-estimation"},{"name":"Panoptic Segmentation","url":"/task/panoptic-segmentation","datasets_with_task":"/datasets/task/panoptic-segmentation"},{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"},{"name":"Scene Generation","url":"/task/scene-generation","datasets_with_task":"/datasets/task/scene-generation"}],"languages":[],"variants":["InstaOrder"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}