datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mpii-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-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.human-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.human-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.