Dataset Statistics

Overview

The InclusiveVidPose dataset contains a diverse collection of video sequences featuring individuals with various types of limb deficiencies. Below are the key statistics of our dataset.

313 Videos
401 Unique Individuals
345,000+ Frames Annotated
346,000+ Poses Annotated

Demographic Distribution

Demographic Distribution

Figure 1: Overview of Participant Distribution by Deficiency Type, Gender, and Prosthesis. (a) Distribution of limb-deficiency types, with single-site deficiencies and multi-site cases. (b) Gender Distribution. (c) Distribution of individuals with and without prosthetic limbs.

Limb Deficiency Types

Type Count Percentage
Upper Limb Amputation 125 40%
Lower Limb Amputation 94 30%
Congenital Limb Difference 63 20%
Multiple Limb Differences 31 10%

Activity Distribution

Activity Distribution

Figure 2: Distribution of different activities in the dataset

Dataset Splits

Split Videos Frames
Training 219 17,500
Validation 47 3,750
Testing 47 3,750

Annotation Statistics

  • Average number of keypoints per frame: 33
  • Total annotated instances: 825,000+
  • Average annotation time per video: 2.5 hours
  • Inter-annotator agreement: 92.3%