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alexshynkarenk0/byeol-synth-v1

byeol-synth-v1 English · Українська A deterministic synthetic benchmark for estimating drone camera ego-motion from onboard sensors. It contains 21 sequences (7 flight scenarios × 3 seeds × 40 s) of raw sensor streams (IMU, flight-controller velocity and heading, height, gimbal angle, frame timestamps) with full ground truth, including the true inter-frame pixel shift of the image centre. It is the dataset behind experiment E-001 of the byeol technical report. Synthetic data… See the full description on the dataset page: https://huggingface.co/datasets/alexshynkarenk0/byeol-synth-v1.

Author / organizationalexshynkarenk0
License (as declared)mit
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Created15 October 2026
Last updated at source15 October 2026
droneuavimuego-motionsyntheticsearch-and-rescuebenchmark
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