YouTube-8M is a large-scale labeled video dataset that consists of millions of YouTube video IDs, with high-quality machine-generated annotations from a diverse ... Download · Explore · About · The 3rd Workshop on...

This dataset is a daily record of the top trending YouTube videos. Note that this dataset is a structurally improved version of this dataset. Content. This ...

The YouTube-8M dataset is a large scale video dataset, which includes more than 7 million videos with 4716 classes labeled by the annotation system.

Welcome to the captivating realm of YouTube stardom, where this meticulously curated dataset unveils the statistics of the most subscribed YouTube channels.

Human-verified labels on about 237K segments on 1000 classes are collected from the validation set of the YouTube-8M dataset. Each video will again come with ...

YouTube dataset of dislikes. In November of 2021, YouTube removed the public dislike count from all of its videos. While creators can still see the number ...

YouTube-Commons is a collection of audio transcripts of 2,063,066 videos shared on YouTube under a CC-By license.

A large scale dataset containing YouTube User Generated Content intended for video compression and quality assessment research. YouTube-UGC Dataset.

The YouTube-100M data set consists of 100 million YouTube videos: 70M training videos, 10M evaluation videos, and 20M validation videos.

YouTube-8M Tensorflow Starter Code. This repo contains starter code for training and evaluating machine learning models over the YouTube-8M dataset.