Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Research | Hacker News Reader

Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Research

research.googleblog.com

314 pointsrunesoerensen37 comments

If, for some reason, you wanted a list of all of the video IDs (I couldn't easily find such a list), then I wrote a crappy scraper to pull them out: https://gist.github.com/JosephRedfern/d60bdc584d84b1451cc605....

I can post a URL to the output once it's finished running, if it'd be of any use to anyone. Oh, and be warned, there's a strong chance that it's buggy. It's certainly not optimised (no threads).

EDIT: The script has now run. I've scraped ~10,000,000 Video IDs, but only ~5.5m of these IDs are unique, so there's probably a bug in my script somewhere (but I need sleep now). Files containing IDs for various categories are listed here: https://redfern.me/public/yt8m/, some notes are here: https://redfern.me/public/yt8m/README.md, and .tar.gz'd archive is available here: https://redfern.me/public/yt8m/yt8m-ids-probably-incomplete.....

I'd love a list of IDs - I'm doing a research project that is a search engine for lectures (https://www.findlectures.com) and I'm interested to see if there is any overlap.

It seems like it'd be interesting to explore their tagging compared to what is in video transcripts.

I've updated my original comment with some URLs.

Awesome, thanks!

This is wonderful. Though I was wish i could just specify columns that I need and download those. Or limit number of rows. 1.5 TB is quite a bit. Regardless, this is wonderful.

Would I be violating any law, copyright if I formatted it and put it on my server for that kind of consumption or via JSON?

On https://research.google.com/youtube8m/download.html it says:

> The code and dataset are licensed by Google Inc. under license Apache 2.0.

The 1.5 TB is just for 1024 (8 bit each) dimension feature vectors for 1 frame per second on first 300 seconds of 5 Million videos.

You can actually download each shard (~300 Mb) separately. They haven't yet released the PCA matrix and quantization parameters used with inception model, but should release them soon.

This is nice :) Kudos to the Youtube guys for releasing this. I'm a data scientist in a startup where one of the things I do is create multi-label models for classifying YouTube videos. My current model has 90 % precision and 69 % recall, while Youtube-8M has 78 % precision and 14 % recall, with respect to the human raters. I guess one of the reasons is that my model only has around 100 categories, while Youtube-8M has 4800. It's like comparing apples with pears, but still interesting.

Sounds interesting, do you guys have a blog at mashtime? What kind of hardware/software do you use for training? Tensorflow? on AWS or bare metal GPUs?

We don't have a blog yet. We're using Azure for the hardware and mainly scikit-learn for the training (we train only on metadata at the moment). Will probably start using Tensorflow soon.

Would you say Tensorflow is a good way to get started with Machine learning?

I'd say scikit-learn is a better way to get started with machine learning. Check this out, for example: https://www.youtube.com/watch?v=cKxRvEZd3Mw

I don't see anything about the rights of video owners? Have people (inadvertently) licensed their content to be used in this way?

I wish they'd addressed that too.

I'd guess the reasoning is, because it's a list of public URLs, there's no expectation of privacy.

Probably you are right. However, I am wondering how many of those videos will be deleted by owners, Google or just blocked in "some" countries a year from now. They could have published it separately to avoid this.

How good do labels need to be for you to be able to get good results on something like this? There's a lot of data, so that's great, but the labels seem a bit spotty.

Oh man.

I am searching (thrashing) around for my next "big" project. i have been thinking of drones measuring roof / building quality and the CV/ML requirements are fairly high - getting my teeth stuck into these would really give me a better feel for training my own system.

The problem is, how do I feed my family while taking the six months to do it all?

im not sure this database will be able to help with that. i doubt building quality is going to be in the annotations, although i did not check.

If you're serious about this concept, create a drone company that takes real estate photos. That will give you hands on experience with the regulations, quality control issues, etc while giving you time to build up your training set.

Hmmm ...

Did someone make a RDF dump of that? (Aligned with dbPedia ;)

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