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Updated Dataset Uses (markdown)

Ajay Ramachandran
2022-04-10 19:04:51 -04:00
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Dataset-Uses.md

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#### [SponsorBlock-ML](https://github.com/xenova/sponsorblock-ml)
Automatically detect in-video YouTube sponsorships, self/unpaid promotions, and interaction reminders using transcripts. Currently being used to find segments that must be reviewed by a human and made more precise.
#### [NeuralBlock](https://ai.neuralblock.app/)
NeuralBlock (NB) is a neural network built using Keras/Tensorflow that detects in-video YouTube sponsorships based off of captions. There is support for both predicting whether or not a text excerpt is a sponsorship (spot) or whether or not this word in the sequence is part of a sponsorship.
@@ -14,3 +18,11 @@ Deep learning-based solution for identifying sponsored content segments on YouTu
> It's not really deployable (quite intensive to do this over frames) but was an interesting research project
#### [sponsor_investigator](https://github.com/hengwang322/sponsor_investigator/)
Detect sponsored segments in Youtube videos
With the power of machine learning!
#### [ZachChuba](https://github.com/ZachChuba/SponsorBlock)
Seems to be an ML detection based on transcripts