CLARU
brittleru2025afl-3.0

NSER-IBVS Mask Splitter Dataset

A dataset for training mask-splitting neural networks to separate vehicle segmentation masks into front and back regions for autonomous drone visual servoing control. Contains both simulation data from UE4 Bunker environment and real-world data captured with Parrot Anafi 4K drone.

Downloads141
Likes3

Why This Matters for Physical AI

This dataset enables development of precise visual servoing systems for autonomous drone control by training neural networks to perform part-aware segmentation, bridging simulation and real-world robotic perception for real-time quadrotor autonomy.

Technical Profile

Modalities
rgbsegmentation
Robot Embodiments
quadrotordrone
Environment
simulationoutdoor
Task Types
visual_servoingsegmentation
Data Format
PNG
Annotation Types
segmentationsemantic_segmentation
License
afl-3.0
Part of the NSER-IBVS family

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