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3D Object Detection

Object Detection › 3D Object Detection 939 평가 기록 93 datasets

3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their location in the 3D space in real-time. This task is crucial for applications such as autonomous vehicles, robotics, and augmented reality.

<span style="color:grey; opacity: 0.6">( Image credit: AVOD )</span>

하위 태스크

M3 Monocular 3D Object Detection 16 데이터셋 · 72 rows MD Multiview Detection 5 데이터셋 · 32 rows 3O 3D Object Detection From Stereo Images 3 데이터셋 · 23 rows R3 Robust 3D Object Detection 2 데이터셋 · 6 rows RB Robust BEV Detection 0 데이터셋 · 0 rows