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@@ -455,13 +455,10 @@ When a person is lying in a bed and getting up to sit in the bed we label this a
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  Sometimes it is not perfectly clear if it is `sit_down` followed by `lie_down` or simply `lie_down`. This depends on there being a moment of rest or not. If the person spends a short amount of time in the sitting position it is the former, if the person directly goes from `sit_down` to `lie_down` without rest it is only labeled `lie_down`. Similar thoughts apply to `stand_up`.
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- In the following video we show how we leveraged VGG VIA to perform the annotations. Note, that we pre-load the original dataset labels as visual aid, but relabel the whole video with our label definitions. In the video below, CMDFall is shown, which already provides relatively detailed labels, the original labels of other datasets are more sparse. Additionally, even CMDFall does not label all frames, but only specific segments, while our labels cover mostly every frame.
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  The blurred out regions were added by us in post-processing to protect the subjects privacy on this page, they are not part of the original videos.
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- <video src="https://huggingface.co/datasets/simplexsigil2/omnifall/resolve/main/annotation_remarks.webm" controls />
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  ## Citation
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  If you use OmniFall in your research, please cite our paper (will be updated soon) as well as all sub-dataset papers:
@@ -562,3 +559,7 @@ The original video data belongs to their respective owners and should be obtaine
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  ## Contact
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  For questions about the dataset, please contact [[email protected]].
 
 
 
 
 
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  Sometimes it is not perfectly clear if it is `sit_down` followed by `lie_down` or simply `lie_down`. This depends on there being a moment of rest or not. If the person spends a short amount of time in the sitting position it is the former, if the person directly goes from `sit_down` to `lie_down` without rest it is only labeled `lie_down`. Similar thoughts apply to `stand_up`.
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+ In the video at the bottom of this page we show how we leveraged VGG VIA to perform the annotations. Note, that we pre-load the original dataset labels as visual aid, but relabel the whole video with our label definitions. In the video below, CMDFall is shown, which already provides relatively detailed labels, the original labels of other datasets are more sparse. Additionally, even CMDFall does not label all frames, but only specific segments, while our labels cover mostly every frame.
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  The blurred out regions were added by us in post-processing to protect the subjects privacy on this page, they are not part of the original videos.
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  ## Citation
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  If you use OmniFall in your research, please cite our paper (will be updated soon) as well as all sub-dataset papers:
 
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  ## Contact
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  For questions about the dataset, please contact [[email protected]].
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+ <video src="https://huggingface.co/datasets/simplexsigil2/omnifall/resolve/main/annotation_remarks.webm" controls />