Objaverse
800K+ annotated 3D models for training 3D and multimodal models.
338 results
800K+ annotated 3D models for training 3D and multimodal models.
Building a satellite constellation carrying LiDAR sensors to remap the Earth's land surface in 3D annually; acquired geospatial-AI firm Astraea…
3D / Point CloudLiDAR / RadarSan Francisco robotics data and observability platform for ingesting, visualizing, and remotely accessing multimodal sensor logs; maintainer of the open-source…
3D / Point CloudSensor / Time-seriesVideoAutomating the development and evaluation of physical AI
3D / Point CloudSensor / Time-seriesScalable and efficient data transformation framework - backwards compatible with dbt.
3D / Point CloudSynthetic imagery and 3D scene data for autonomous-system perception training.
3D / Point CloudImageSynthetic training images from 3D product digital twins, for retail computer vision.
3D / Point CloudImageDigital-twin simulation platform (Falcon) generating synthetic sensor data.
3D / Point CloudImageSensor / Time-seriesSynthetic 2D/3D dataset generation for computer vision, robotics, and defense.
3D / Point CloudImageTel Aviv-area annotation platform for image, video, and LiDAR/3D data serving automotive, medical, and logistics customers.
3D / Point CloudImageVideoIrvine, CA-based data-annotation platform and services provider for image, video, 3D sensor-fusion, and LLM/GenAI data.
3D / Point CloudImageVideoGothenburg-based multi-sensor annotation platform (formerly Annotell) for autonomous-vehicle and ADAS perception data.
3D / Point CloudImageLiDAR / RadarData engine for physical AI
3D / Point CloudLiDAR / RadarSensor / Time-seriesMulti-sensor data labeling platform for robotics & AV
3D / Point CloudImageLiDAR / RadarGet quality data for high-performance AI
3D / Point CloudImageTextVideoData labeling platform for the modern sensor stack
3D / Point CloudImageVideoICCV'25 GSOT3D: Towards Generic 3D Single Object Tracking in the Wild We present a novel benchmark, GSOT3D, that…
This is the dataset used in the paper, "DAGDiff: Guiding Dual-Arm Grasp Diffusion to Stable and Collision-Free Grasps".…