human-motion
human-motion-tracking-deeplabcutThis dataset is used to adapt DeepLabCut for Human motion tracking.
Structure of the dataset
videos contains 100+ videos of 4 candidates recorded during a game of darts.
labeled-data contains labels on the corresponding frames of the videos. These labels are used to adapt DeepLabCut for human motion tracking. Under labeled-data there are 2 folders for every video.
video_name has all the relevant frames extracted from the video, xy coordinates of the labels in the csv file and the… See the full description on the dataset page: https://huggingface.co/datasets/GT-Neuronext/human-motion-tracking-deeplabcut.human-motion-tracking-deeplabcutThis dataset is used to adapt DeepLabCut for Human motion tracking.
Structure of the dataset
videos contains 100+ videos of 4 candidates recorded during a game of darts.
labeled-data contains labels on the corresponding frames of the videos. These labels are used to adapt DeepLabCut for human motion tracking. Under labeled-data there are 2 folders for every video.
video_name has all the relevant frames extracted from the video, xy coordinates of the labels in the csv file and the… See the full description on the dataset page: https://huggingface.co/datasets/pratikshapai/human-motion-tracking-deeplabcut.animacy-human-motion
squaredcuber/animacy-human-motion
Canonical human conversational motion (animacy.human.v1, 30 Hz) captured with
animacy — the open interaction layer for
expressive robots. Each clip is motion.parquet (28 channels: head 6-DoF, gaze,
brows, eyes, mouth, torso, a puppet arm chain, speaking/validity flags),
audio.wav (16 kHz mono, same clock) and meta.json.
Retarget any clip to a robot with animacy retarget --robot <name>; robots are
one ROBOT.md each (Autonomous Lamp and Reachy… See the full description on the dataset page: https://huggingface.co/datasets/squaredcuber/animacy-human-motion.human_motionA_PROBE_HUMAN_MOTION_DATA_FOR_HUMANOID_CONTROL
A Probe — Human Motion Data for Humanoid Control
Markerless video-derived kinematics
A motion-data corpus built on one subject, filmed on one iPhone at up to 240 frames per second. Pose is extracted from the video with markerless software (MediaPipe-class models) — no suits, no markers, no lab. The corpus covers three movement categories under one protocol: percussion, everyday extreme motion, and sports tasks. Every take is a first recorded attempt, performed… See the full description on the dataset page: https://huggingface.co/datasets/chadfaulk/A_PROBE_HUMAN_MOTION_DATA_FOR_HUMANOID_CONTROL.animacy-human-motion-large
squaredcuber/animacy-human-motion-large
Canonical human conversational motion (animacy.human.v1, 30 Hz) captured at scale with
animacy — the open interaction layer for expressive robots.
Every clip is a directory clips/<shard>/<name>/ holding
motion.parquet — 28 channels: head 6-DoF, gaze, brows, eyes, mouth, torso, a puppet arm chain,
speaking / validity flags (schema: docs/CANONICAL.md in the repo);
audio.opus — the clip's audio, mono, Opus 32 kb/s from the 16 kHz capture… See the full description on the dataset page: https://huggingface.co/datasets/squaredcuber/animacy-human-motion-large.