A Large Dataset of Object Scans
원문 초록
We have created a dataset of more than ten thousand 3D scans of real objects. To create the dataset, we recruited 70 operators, equipped them with consumer-grade mobile 3D scanning setups, and paid them to scan objects in their environments. The operators scanned objects of their choosing, outside the laboratory and without direct supervision by computer vision professionals. The result is a large and diverse collection of object scans: from shoes, mugs, and toys to grand pianos, construction vehicles, and large outdoor sculptures. We worked with an attorney to ensure that data acquisition did not violate privacy constraints. The acquired data was irrevocably placed in the public domain and is available freely at http://redwood-data.org/3dscan .
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
RoHOI: Robustness Benchmark for Human-Object Interaction Detection
Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework
NOCTIS: Novel Object Cyclic Threshold based Instance Segmentation
Refine Any Object in Any Scene
DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World
Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection
토론
이 논문과 연결된 포럼 글이 아직 없습니다.