PanGEA: The Panoramic Graph Environment Annotation Toolkit
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Abstract (arXiv)
PanGEA, the Panoramic Graph Environment Annotation toolkit, is a lightweight toolkit for collecting speech and text annotations in photo-realistic 3D environments. PanGEA immerses annotators in a web-based simulation and allows them to move around easily as they speak and/or listen. It includes database and cloud storage integration, plus utilities for automatically aligning recorded speech with manual transcriptions and the virtual pose of the annotators. Out of the box, PanGEA supports two tasks -- collecting navigation instructions and navigation instruction following -- and it could be easily adapted for annotating walking tours, finding and labeling landmarks or objects, and similar tasks. We share best practices learned from using PanGEA in a 20,000 hour annotation effort to collect the Room-Across-Room dataset. We hope that our open-source annotation toolkit and insights will both expedite future data collection efforts and spur innovation on the kinds of grounded language tasks such environments can support.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 16 of its 16 references that are in the map. First posted on arXiv 23 Mar 2021.
Builds on
16 of 16 references.
References · 16
- 2017Matterport3D: Learning from RGB-D Data in Indoor Environmentscited by 1,376
- 2017Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environmentscited by 1,027
- 2019The Replica Dataset: A Digital Replica of Indoor Spacescited by 904
- 2018On Evaluation of Embodied Navigation Agentscited by 547
- 2018Gibson Env: Real-World Perception for Embodied Agentscited by 481
- 2020Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Groundingcited by 414
- 2019REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environmentscited by 333
- 2019Vision-and-Dialog Navigationcited by 250
- 2020ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objectscited by 244
- 2018Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environmentscited by 239
- 2019Connecting Vision and Language with Localized Narrativescited by 226
- 2019Executing Instructions in Situated Collaborative Interactionscited by 69
4 more
- 2021On the Evaluation of Vision-and-Language Navigation Instructionscited by 45
- 2019The StreetLearn Environment and Datasetcited by 42
- 2020Where Are You? Localization from Embodied Dialogcited by 24
- 2020Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street Viewcited by 18
Built on by
Citing papers per year: 2021: 2; 2022: 0; 2023: 1.
3 papers.
- 2021Less is More: Generating Grounded Navigation Instructions from Landmarkscited by 64
- 2021Core Challenges in Embodied Vision-Language Planningcited by 30
- 2023Core Challenges in Embodied Vision-Language Planningcited by 0
- 2023Core Challenges in Embodied Vision-Language Planning5 Apr 2023
- 2021Less is More: Generating Grounded Navigation Instructions from Landmarks25 Nov 2021
- 2021Core Challenges in Embodied Vision-Language Planning26 Jun 2021