SULAND_v2 provides a cleaned RGB dataset and deep learning benchmark for detecting PFM-1 and PMA-2 landmines via UAV/UGV. The update addresses previous issues with missing annotations, localization errors, and inconsistent visibility criteria in the original dataset.
HOW THIS AFFECTS YOU
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builderYou can use this more reliable dataset to train robust object detectors for autonomous landmine survey.
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researcherThis offers a more consistent benchmark for evaluating OOD generalization in safety-critical robotics.