Update README.md

README.md

@@ -1,3 +1,11 @@
+---
+license: cc-by-sa-4.0
+tags:
+- video
+- computervision
+- poseestimation
+- egocentric
+---
 # MultiEgoView
 This repository contains the real world data from MultiEgoView a dataset generated with EgoSim:
 
@@ -14,5 +22,4 @@ This repository contains the real world data from MultiEgoView a dataset generat
 
 An example dataloader for the real world data can be found in `code/example_dataloader`. The dataloader uses the huggingface dataset and can be used for action classification. The huggingface dataset can be wrapped by any frameworks dataset. For fast loading additional preprocessing might be required, e.g. smaller video snippets of equal length or padding.
 
-The synthetic data is stored as individual image frames. While this format is ideal for preserving high-fidelity visual information, it is inefficient in terms of memory usage and access speed, especially when used for video classification or regression tasks in machine learning. To address this, we provide a conversion script (`code/dataset_convert.py`) that transforms the EgoSimData into more efficient formats such as MP4 or HDF5.
-
+The synthetic data is stored as individual image frames. While this format is ideal for preserving high-fidelity visual information, it is inefficient in terms of memory usage and access speed, especially when used for video classification or regression tasks in machine learning. To address this, we provide a conversion script (`code/dataset_convert.py`) that transforms the EgoSimData into more efficient formats such as MP4 or HDF5.