google-research-datasets / Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box descri…
☆2,271Updated 2 years ago
Alternatives and similar repositories for Objectron:
Users that are interested in Objectron are comparing it to the libraries listed below
- Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding☆1,792Updated 5 months ago
- code for Mesh R-CNN, ICCV 2019☆1,148Updated 4 months ago
- A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation …☆2,454Updated 2 weeks ago
- The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.☆1,294Updated 2 years ago
- Atlas: End-to-End 3D Scene Reconstruction from Posed Images☆1,834Updated 2 years ago
- A PyTorch Library for Accelerating 3D Deep Learning Research☆4,686Updated last week
- DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel …☆1,016Updated last year
- gradslam is an open source differentiable dense SLAM library for PyTorch☆1,346Updated last year
- PyTorch3D is FAIR's library of reusable components for deep learning with 3D data☆9,157Updated this week
- High Quality Monocular Depth Estimation via Transfer Learning☆1,594Updated 2 years ago
- OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT…☆3,692Updated last year
- The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"☆1,276Updated 7 months ago
- Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Z…☆4,795Updated 7 months ago
- Dense Prediction Transformers☆2,096Updated 3 months ago
- A deep learning library for video understanding research.☆3,410Updated 2 months ago
- We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.☆1,641Updated last year
- ☆1,500Updated 7 months ago
- Efficient 3D human pose estimation in video using 2D keypoint trajectories☆3,822Updated 2 years ago
- An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"☆465Updated last year
- TRI-ML Monocular Depth Estimation Repository☆1,254Updated last year
- A simple, fully convolutional model for real-time instance segmentation.☆5,098Updated last year
- Deep Hough Voting for 3D Object Detection in Point Clouds☆1,714Updated 3 years ago
- The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.☆2,970Updated last year
- Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)☆662Updated 8 months ago
- 🐍 Geometric Computer Vision Library for Spatial AI☆10,358Updated this week
- Scaled-YOLOv4: Scaling Cross Stage Partial Network☆2,031Updated 5 months ago
- Lightweight Python library for adding real-time multi-object tracking to any detector.☆2,465Updated 8 months ago
- TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow☆2,764Updated last week
- implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)☆1,999Updated 5 months ago
- Tooling for the Common Objects In 3D dataset.☆1,001Updated 7 months ago