{"url":"/dataset/aip-environment","name":"AIP Environment","full_name":null,"description_markdown":"AI Playground (AIP) is an open-source, Unreal Engine-based tool for generating and labeling virtual image data. With AIP, it is trivial to capture the same image under different conditions (e.g., fidelity, lighting, etc.) and with different ground truths (e.g., depth or surface normal values). AIP is easily extendable and can be used with or without code.\r\n\r\nSource: [AI Playground: Unreal Engine-based Data Ablation Tool for Deep Learning](/paper/ai-playground-unreal-engine-based-data)","description_withheld":null,"homepage":"","introduced_date":"2020-07-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/ai-playground-unreal-engine-based-data","title":"AI Playground: Unreal Engine-based Data Ablation Tool for Deep Learning","first_author":"Mehdi Mousavi","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["AIP Environment"],"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":"2026-09-25T09:33:49+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."}