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Overlaiapp
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Pushing the limits of Training Data
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posted an update 1 day ago
https://huggingface.co/datasets/Overlaiai/Temporal-Fidelity
"Training Data Maxxxing Month" starts with a simple question:
Does the model care where the video frames came from?
We just released 'Temporal Fidelity', a controlled benchmark with matched source clips in:
• native 60p
• clean 24p
• synthetic 30p derived from the 24p version
The goal is not just to ask whether 60p is better. (it is)
We want to know:
• Does temporal contamination hurt model performance?
• Can models detect temporal junk?
• Can temporal provenance become a useful filtering signal for scraped video datasets?
• Does a file labeled 30 fps actually contain 30 unique captured moments per second?
If you test it, find something weird, or build a detector with it, we'd love to see the results. updated a Space 3 days ago
Overlaiai/README updated a dataset 3 days ago
Overlaiai/OregonCoastin4KOrganizations
