#zooniverse

[zooniversefinds]

[ashtrayheartedgurl]

i'll never recover from meeting dave brown aka bollo from the mighty boosh and him telling me what season 4 of the mighty boosh wouldve been... and how everyone's onboard to do a tour but noel..... and how if they toured again it would be a music tour not comedy.....

bro also said that noel would love me. MAKES ME SICK i'd cry if i met noel

[ohfarren]

On a journey through time and space...

[nattykazooartyay]

Season 1 boosh boys

[intothestacks]

Cool literary citizen science project to help out in

Picturing Children's Stories - "Help us describe children’s book illustrations to develop AI that can better understand the visual history of storytelling."

[hidden-but]

have you heard about what's going on in Sudan?

would you like to use some of your procrastination/online time to help?

Zooniverse is a crowdsourcing image annotation platform that started as an attempt to classify wildlife in phototraps, and then branched to other similar projects. The idea behind it is simple:

Humans are great at seeing patterns in images. Computers are shit at it. Give a human a picture and ask: is X in the picture? and you'll get either: Yes, here; No, or Maybe. Give the same image to a bunch of humans (ideally hundreds/thousands) and you'll get statistics that is as accurate classification of the image as humanly possible (even though some humans make errors in the process).

This project focuses on classifying satellite images of roads and evaluating if there's a dry riverbed crossing the road which is at risk of flooding, which would prevent aid getting across the flooded road.

They are in the early stages of classification, which means that they need people to look at thousands of images and sort them out to Something's Here and Nothing's Here, so if you have some time and you'd like to help, please go to the project page and check if there's a dried river on some of the pictures.

Let me stress once again, that this project is set up in a way that even if you spend five minutes on it, classify fifteen images and make two mistakes, you're still helping. Especially in these early days, where there's still a lot of pictures with Not The Thing We're Looking For in them.

And you'll learn something about how Sudanese countryside looks like from space, as a bonus.

Zooniverse

The Zooniverse is the world’s largest and most popular platform for people-powered research.

(i recommend opening this on a large screen, zooniverse pages are not very mobile friendly in general, because you need to be able to see and mark the image, after all)

[thatrandomcommander]

You know what, here's an older art work of Shockwave that I made to use as my profile picture on Zooniverse!

For those who do not know, Zooniverse is a site where you can help with research for a multitude of things on a multitude of subjects, seriously really fun, highly recommend https://www.zooniverse.org

And if you wanna find me, my tag is "TheBorgQueen" (I also have a group that you can feel free to join)

[tirlaeyn]

so there's this website called zooniverse.org where regular ppl can help scientists with their projects by reviewing photos and videos from capture cameras.

For a while now, I've been helping with one called Chimp&See. They are studying chimpanzees in West Africa. The videos are fifteen seconds long, and you just make a note of what animals you see, if any. There's some guidelines and so forth.

So like I said, I've been doing this for a bit. I find it quite soothing and also exciting and rewarding at times! Well I have seen countless antelope, hogs, porcupines, even mona monkeys and baboons. But today!! For the first time!! I SAW A CHIMP!!!

I was starting to wonder if there were any XD That was an excellent way to end the day.