datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MPII_Human_Pose_Dataset
Dataset Card for MPII Human Pose
MPII Human Pose dataset is a state of the art benchmark for evaluation of articulated human pose estimation.
The dataset includes around 25K images containing over 40K people with annotated body joints.
The images were systematically collected using an established taxonomy of every day human activities.
Overall the dataset covers 410 human activities and each image is provided with an activity label.
Each image was extracted from a YouTube… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/MPII_Human_Pose_Dataset.humanpose_denseposesynthetic-human-expressions-poses-3d
3D Synthetic Human Poses and FACS Expressions Dataset
This is a high-fidelity synthetic dataset consisting of 10,075 pairs of 3D human character renders and detailed natural language annotations.
Dataset Structure & Generation
To ensure consistency, the dataset is generated using a single base 3D human model. The diversity of the dataset is achieved through a wide range of body poses, facial expressions, and camera angles:
Character: 1 base human model.
Camera… See the full description on the dataset page: https://huggingface.co/datasets/nadizik/synthetic-human-expressions-poses-3d.humanposempii-human-pose-captions
Dataset Card for MPII Human Pose Descriptions
Dataset Summary
The MPII Human Pose Descriptions dataset extends the widely-used MPII Human Pose Dataset with rich textual annotations. These annotations are generated by various state-of-the-art language models (LLMs) and include detailed descriptions of the activities being performed, the count of people present, and their specific poses.
The dataset consists of the same image splits as provided in MMPose, with 14644… See the full description on the dataset page: https://huggingface.co/datasets/saifkhichi96/mpii-human-pose-captions.human_animal_poseshuman-activity-pose_v4
🧍 Human Activity Pose Dataset (Split Version)
This dataset contains human pose landmarks extracted with MediaPipe Pose,
annotated with activity labels and textual descriptions in English.
Dataset structure
train/ — 80% of samples for training
validation/ — 20% of samples for validation
Each record includes:
33 pose keypoints (fields: x, y, z, visibility)
label: activity name (e.g., reading, dancing, office_work)
description: a short textual description of the action… See the full description on the dataset page: https://huggingface.co/datasets/guillherms/human-activity-pose_v4.v15-human-img-posedreamer16HumanPosehuman-activity-pose_v2
🧍 Human Activity Pose Dataset
This dataset contains pose landmarks extracted using **MediaPipe Pose**,
annotated with **activity labels** and English descriptions.
## 📊 Dataset Structure
- `train/` → 80% of the samples for training
- `validation/` → 20% of the samples for validation
## 🧠 Each record contains:
- 33 pose keypoints (`x, y, z, visibility`)
- `label`: activity name (e.g., `reading`, `dancing`, `office_work`)
-… See the full description on the dataset page: https://huggingface.co/datasets/guillherms/human-activity-pose_v2.Auditorium-Graduation-Ceremony-Human-Pose-Detection-Video
Auditorium Graduation Ceremony Human Pose Detection Video
In the current fields of video surveillance and behavior recognition, accurately detecting and analyzing human poses is a key challenge. Existing pose detection technologies perform poorly in complex backgrounds and multi-person environments, and require high real-time performance. This dataset aims to address the need for accurately detecting and recognizing various human poses and behaviors in auditoriums, schools, and… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Auditorium-Graduation-Ceremony-Human-Pose-Detection-Video.v15-human-img-posedreamer10v15-human-img-posedreamer22v15-human-img-posedreamer27human-activity-pose_v1
🧍 Human Activity Pose Dataset
This dataset contains pose landmarks extracted using **MediaPipe Pose**,
annotated with **activity labels** and English descriptions.
## 📊 Columns
- `x0...x32, y0...y32, z0...z32, v0...v32`: Pose landmark coordinates and visibility.
- `label`: Activity name (e.g., `reading`, `waving`, `office_work`, etc.)
- `description`: English description of the activity context.
## 🧠 Example
| label | description |… See the full description on the dataset page: https://huggingface.co/datasets/guillherms/human-activity-pose_v1.v15-human-img-posedreamer23v15-human-img-posedreamer8human-activity-pose_v3 ---
annotations_creators:
- human-annotated
language:
- en
license: mit
pretty_name: Human Activity Pose Dataset (Split Version)
task_categories:
- pose-estimation
- action-recognition
task_ids:
- human-activity-recognition
size_categories:
- 1K<n<10K
---
# 🧍 Human Activity Pose Dataset
This dataset contains pose landmarks extracted using **MediaPipe Pose**,
annotated with **activity labels** and English descriptions.… See the full description on the dataset page: https://huggingface.co/datasets/guillherms/human-activity-pose_v3.v15-human-img-posedreamer12v15-human-img-posedreamerv15-human-img-posedreamer26v15-human-img-posedreamer3v15-human-img-posedreamer4v15-human-img-posedreamer9v15-human-img-posedreamer11v15-human-img-posedreamer18v15-human-img-posedreamer19v15-human-img-posedreamer20v15-human-img-posedreamer5v15-human-img-posedreamer6