legged
Datasets
All datasets matching “legged”grand_tour_dataset
The GrandTour Dataset
A project brought to you by RSL - ETH Zurich.
References •
Contributing •
Citation
References
Official dataset webpage: grand-tour.leggedrobotics.com
Getting started & examples: github.com/leggedrobotics/grand_tour_dataset
Boxi used to collect the data: github.com/leggedrobotics/grand_tour_box
Contributing
We warmly welcome contributions to improve and expand this project. Whether it's new examples, enhancements, or… See the full description on the dataset page: https://huggingface.co/datasets/leggedrobotics/grand_tour_dataset.egohtr
Dataset Card for EgoHTR
Dataset Details
Dataset Description
EgoHTR (Egocentric Human-Terrain Reconstruction) is a multimodal dataset of 4D human motion precisely aligned to complex, unstructured terrain. It combines egocentric wearables (Project Aria) and IMU-based motion capture with portable 3D scene scanning to reconstruct human motion in diverse indoor and outdoor environments — enabling terrain-aware humanoid locomotion research where existing… See the full description on the dataset page: https://huggingface.co/datasets/leggedrobotics/egohtr.funthor-dataset
FunTHOR
📄 Paper | 🌐 Project Page
FunTHOR is a synthetic dataset for functional 3D scene understanding, built on top of the
AI2-THOR simulator. It provides part-level ground-truth geometry and
dense, rule-based functional-relation annotations (e.g. knife slices apple, handle pulls to open
door, stove knob turns on/off burner) for 12 indoor scenes, together with posed RGB-D
sequences for each scene.
The dataset was introduced as a benchmark in our work on constructing… See the full description on the dataset page: https://huggingface.co/datasets/leggedrobotics/funthor-dataset.navitrace
NaviTrace
🏠 Project
📄 Paper
💻 Code
🏆 Leaderboard
NaviTrace is a novel VQA benchmark for VLMs that evaluates models on their embodiment-specific understanding of navigation across challenging real-world scenarios.
Key Features
✏️ Core Task: Given a real-world image in first-person perspective, a language instruction, and an embodiment type, models should predict… See the full description on the dataset page: https://huggingface.co/datasets/leggedrobotics/navitrace.ViserDexSplatsThe meshes, optimized Gaussian Splats, and preprocessed datasets for the ViserDex object set. For more details refer to the ViserDex Github Repo.
license: cc-by-nc-4.0
wildos
WildOS Frontiers Dataset
Dataset Description
This dataset provides visual frontier annotations for outdoor long-range navigation, created for WildOS: Open-Vocabulary Object Search in the Wild. The annotations are built on top of images from the GrandTour Dataset.
Visual Frontiers denote regions in the image that correspond to candidate locations for further exploration — such as the end of a trail, an opening
between trees, or a road turning at a curve. This dataset… See the full description on the dataset page: https://huggingface.co/datasets/leggedrobotics/wildos.