Datasetpublic

guillherms/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… See the full description on the dataset page: https://huggingface.co/datasets/guillherms/human-activity-pose_v4.

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Dataset Card

🧍 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 context

Recommended usage

python

from datasets import load_dataset
dataset = load_dataset("guillherms/human-activity-pose_v4")
train = dataset["train"]
val = dataset["validation"]

Example labels

label	description
reading	A person reading or reviewing a document attentively.
waving	A person waving their hand as a greeting or farewell gesture.
office_work	People working in an office, using laptops, papers, or mobile devices.

Source

Created by Guilherme Santos using MediaPipe and OpenCV.

Notes

—The YAML front-matter at the top of this file is used by Hugging Face Cards to populate the repo card. It must start on the first line (---) with no preceding blank lines or spaces.
—License: CC-BY-4.0