Dataset Toolkit

Michalfaber developed this repository in November 2020 to facilitate the analysis and transformation of pose estimation datasets. It specifically targets COCO-formatted data used in deep learning workflows for keypoint detection.

Use Cases

• Analyzing COCO keypoint annotations to identify label distribution
• Transforming pose estimation metadata for deep learning model training
• Preprocessing pose labels for dataset-specific analysis

Strengths

• Explicit support for COCO pose estimation format
• Provides scripts for both analysis and transformation
• Publicly available on GitHub since 2020

Limitations

• Contains no raw image or observation data
• Stale since late 2020
• Undefined record count as it is a script repository

Provenance

Source

GitHub repository by michalfaber

Freshness

Last updated 2020-11-03; no subsequent maintenance recorded.