datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
HumanActivityDatasetHuman_Activity_RecognitionHuman Activity Recognition (HAR) using smartphones dataset. Classifying the type of movement amongst five categories:
WALKING,
WALKING_UPSTAIRS,
WALKING_DOWNSTAIRS,
SITTING,
STANDING
The experiments have been carried out with a group of 16 volunteers within an age bracket of 19-26 years. Each person performed five activities (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING) wearing a smartphone (Samsung Galaxy S8) in the pucket. Using its embedded accelerometer and gyroscope… See the full description on the dataset page: https://huggingface.co/datasets/DiFronzo/Human_Activity_Recognition.human-activity-recognitionhuman-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_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.human-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.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.Activity_Human_RecognitionHuman-Activity-Detection-Dataset