[bcheung]

Damn, I worked at a porn company before and we had people sitting there watching porn all day doing nothing but entering in tags. Now if only it could identify the pornstars in it as well.

I imagine the tube sites would use this as well as bookmarks / cue points in the videos. Some of them already do that but I'm sure it was manual before.

How easy would this be to adapt to photos? Does the model need a lot of surrounding video frames?

[rightsForRobots]

I think thats doable. I'll be adding an autotag mode. I've been thinking about other attributes I can detect from race, to hair color, to number of participants.

Crowd sourcing is good except it can't tag new videos no one's seen yet.

[arebours]

Did you have any problems looking for a job after (assuming you no longer work for a porn company)? Do you have this company's name written down in your cv?

I'm really curious as I've heard you can smash your career in film industry by doing porn.

[bcheung]

I haven't had any issues. I have them on my resume but they don't sound very adult oriented. Most of them have innocent sounding names that yield no search results. When they do, you can't tell much more than they do e-commerce.

I do however say that my photography work has publications in Playboy, Maxim, FHM, etc. I added that deliberately to filter out companies that would have issue with it. Didn't want to work at companies like that.

I did have one company express concern during an interview, but my response was basically "What does it matter what I do in my personal time if I'm not bringing it to work". They seemed fine with that explanation and ended up hiring me.

I don't have any of my production side work on my resume. I know people more involved on that side, particularly female pornstars have more issue finding work after that but they usually are not pursuing jobs where there is way more demand than supply like in programming.

I can't speak to the film industry.

[j_s]

https://news.ycombinator.com/item?id=12855554

specifically: https://news.ycombinator.com/item?id=12856673

[danieltillett]

A lot of the stars are surprisingly hard to identify by face, but the rise of tattoos should make the job much easier.

[bandrami]

A couple of sites have beta-quality facial recognition to identify models (imagefap comes to mind). Once you have that it's just a question of getting a database to match the model to a name.

[zeroer]

Why not crowdsource the tagging?

[devonkim]

In the data I've scraped in my own nsfw programming work there's a great deal of bad tags with content out there. xvideos is a great example of crowdsourcing that has horrible error rates.

[rightsForRobots]

Yes even within a particular video there are lots of frames where the act is implied not directly shown, like a close-up of others faces. Karpathy et al. showed they could still learn from the sports video database even with random crowd shots or announcer shots not being removed.

I think the quality for the data influences the result and hand crafting the dataset is what lead to 95% accuracy on new instances.

[beta_globin]

Very interested to chat. Where can I DM you?