{"url":"/dataset/blackbird","name":"Blackbird","full_name":null,"description_markdown":"The Blackbird unmanned aerial vehicle (UAV) dataset is a large-scale, aggressive indoor flight dataset collected using a custom-built quadrotor platform for use in evaluation of agile perception. The Blackbird dataset contains over 10 hours of flight data from 168 flights over 17 flight trajectories and 5 environments. Each flight includes sensor data from 120Hz stereo and downward-facing photorealistic virtual cameras, 100Hz IMU, motor speed sensors, and 360Hz millimeter-accurate motion capture ground truth. Camera images for each flight were photorealistically rendered using FlightGoggles across a variety of environments to facilitate easy experimentation of high performance perception algorithms. \r\n\r\nSource: [The Blackbird Dataset: A large-scale dataset for UAV perception in aggressive flight](/paper/the-blackbird-dataset-a-large-scale-dataset)","description_withheld":null,"homepage":"http://blackbird-dataset.mit.edu/BlackbirdDatasetData/picasso/yawConstant/maxSpeed3p0/videos/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/the-blackbird-dataset-a-large-scale-dataset","title":"The Blackbird Dataset: A large-scale dataset for UAV perception in aggressive flight","first_author":"Amado Antonini","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Optical Flow Estimation","url":"/task/optical-flow-estimation","datasets_with_task":"/datasets/task/optical-flow-estimation"},{"name":"Bayesian Inference","url":"/task/bayesian-inference","datasets_with_task":"/datasets/task/bayesian-inference"}],"languages":[],"variants":["Blackbird"],"data_loaders":[{"repo":"https://github.com/MUHAMMEDZEYN/deep-speed-constrained-ins","url":"https://github.com/MUHAMMEDZEYN/deep-speed-constrained-ins","frameworks":["pytorch"]}],"num_papers_in_archive":9,"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."}