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}
}