datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multi-view-bathroom-scene-understanding-camera-relocalization
Multi-View Bathroom Scene Understanding & Camera Relocalization
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is… See the full description on the dataset page: https://huggingface.co/datasets/physicl/multi-view-bathroom-scene-understanding-camera-relocalization.Multi-Camera-Multi-Vehicle-Tracking-System
Multi-Camera Multi-Vehicle Tracking System (UAV Dataset)
This dataset contains synchronized multi-UAV video footage and comprehensive tracking annotations, accompanying the paper A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking.
It is designed for evaluating real-time multi-camera multi-vehicle tracking (MCMT) systems, focusing on solving trajectory fragmentation and maintaining global identity persistence across isolated UAV fields of view.… See the full description on the dataset page: https://huggingface.co/datasets/jye9/Multi-Camera-Multi-Vehicle-Tracking-System.so101_multicamerasThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101",
"total_episodes": 19,
"total_frames": 9061,
"total_tasks": 1,
"total_videos": 38,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:19"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/labme/so101_multicameras.multi-camera-hsi-rgb-super-resolutionThis is a sample multi-camera dataset acquired by two sensors:
Ultris SR5 Camera - a hyperspectral imaging (HSI) sensor.
Raspberry Pi High Quality Camera - a classical RGB color sensor.
The dataset is used for pedagogical purpose in the course of Computer Vision (code 5PMSIVV3) at Grenoble INP Phelma, the application being RGB-guided HSI super-resolution.
The dataset was made possible thanks to the Multi-camera Imaging Research and Acquisition (MIRA) Platform of GIPSA-Lab, Grenoble, France.… See the full description on the dataset page: https://huggingface.co/datasets/mira-imaging/multi-camera-hsi-rgb-super-resolution.se2_gripper_multi_cameraThis dataset was created using 🤗 LeRobot.
eval_act_so101_multicamerasThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101",
"total_episodes": 5,
"total_frames": 2737,
"total_tasks": 1,
"total_videos": 10,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:5"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/labme/eval_act_so101_multicameras.natix-multi-camera-driving-dataset
NATIX Multi-Camera Driving Dataset
Summary
The NATIX Multi-Camera Driving Dataset is a real-world driving dataset. Unlike fleet-collected datasets that rely on trained safety drivers operating standardized vehicles, NATIX sources its data from a decentralized vehicle network consisting of everyday, non-expert drivers, resulting in more natural driving behavior and a broader distribution across real-world scenarios.
NATIX plans to release 2,000+ hours of data as… See the full description on the dataset page: https://huggingface.co/datasets/natix-network-org/natix-multi-camera-driving-dataset.