{"url":"/dataset/boombox","name":"Boombox","full_name":null,"description_markdown":"**Boombox** is a multi-modal dataset for visual reconstruction from acoustic vibrations. Involves dropping objects into a box and capturing resulting images and vibrations. Used for training ML systems that predict images from vibration.\r\n\r\n**Potential application domain:** Computer Vision, Multimodal Perception, Vision and Sound, Sight from Sound, Robotics, Deep Learning, and Machine Learning.","description_withheld":null,"homepage":"https://boombox.cs.columbia.edu/","introduced_date":"2021-05-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-boombox-visual-reconstruction-from","title":"The Boombox: Visual Reconstruction from Acoustic Vibrations","first_author":"Boyuan Chen","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"},{"name":"Audio","url":"/datasets/modality/audio"},{"name":"Time series","url":"/datasets/modality/time-series"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"Image Generation","url":"/task/image-generation","datasets_with_task":"/datasets/task/image-generation"},{"name":"3D Point Cloud Reconstruction","url":"/task/3d-point-cloud-reconstruction","datasets_with_task":"/datasets/task/3d-point-cloud-reconstruction"},{"name":"Multimodal Deep Learning","url":"/task/multimodal-deep-learning","datasets_with_task":"/datasets/task/multimodal-deep-learning"}],"languages":[],"variants":["Boombox"],"data_loaders":[],"num_papers_in_archive":1,"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."}