From aa573385f1cdbe8d41d01b64ab35517e01624720 Mon Sep 17 00:00:00 2001 From: Ajay Ramachandran Date: Sun, 10 Apr 2022 19:04:51 -0400 Subject: [PATCH] Updated Dataset Uses (markdown) --- Dataset-Uses.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/Dataset-Uses.md b/Dataset-Uses.md index bd43b56..3a2350a 100644 --- a/Dataset-Uses.md +++ b/Dataset-Uses.md @@ -1,3 +1,7 @@ +#### [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 \ No newline at end of file