Datasets:
metadata
license: bsd-2-clause
size_categories:
- 10K<n<100K
source_datasets:
- extended
task_categories:
- question-answering
- text-generation
pretty_name: PoseText Dataset
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 6928527802.821085
num_examples: 14402
- name: test
num_bytes: 1732372491.1789145
num_examples: 3601
download_size: 8656134356
dataset_size: 8660900294
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
tags:
- remyx
- PoseEstimation
- MultiModal
- VLM
original_dataset_id: Voxel51/MPII_Human_Pose_Dataset
processing_description: >-
Filtered missing body keypoint annotations, reformatted keypoint coordinates
for Molmo
Dataset Card for the PoseText Dataset
The PoseText Dataset can be used to enhance vision-language model performance in the task of human pose estimation.
Dataset Details
Dataset Description
Parsing body keypoints from the Voxel51/MPII_Human_Pose_Dataset, parsing into a text-based format used in Molmo
- Curated by: [remyx.ai]
- Language(s) (NLP): [en]
Citation
If you found this resource useful, please consider citing:
@misc{posetext2024,
title={PoseText},
author={Terry Rodriguez and Salma Mayorquin},
organization={Remyx AI},
year={2024},
month={September},
note = {Dataset},
url = {https://huggingface.co/datasets/salma-remyx/PoseText}
}