Difference between revisions of "User:0911497/Graduation"
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*[https://nos.nl/artikel/2272494-verleden-van-migranten-moet-meer-nadruk-krijgen-in-geschiedenisles.html NOS - Verleden van migranten moeten meer nadruk krijgen] | *[https://nos.nl/artikel/2272494-verleden-van-migranten-moet-meer-nadruk-krijgen-in-geschiedenisles.html NOS - Verleden van migranten moeten meer nadruk krijgen] | ||
* [https://www.washingtonpost.com/news/monkey-cage/wp/2018/06/27/the-news-media-usually-show-immigrants-as-dangerous-criminals-thats-changed-for-now-at-least/?utm_term=.779d596f2731 news shows immigrants as dangarous] | * [https://www.washingtonpost.com/news/monkey-cage/wp/2018/06/27/the-news-media-usually-show-immigrants-as-dangerous-criminals-thats-changed-for-now-at-least/?utm_term=.779d596f2731 news shows immigrants as dangarous] | ||
| + | <br> | ||
| + | * [https://en.wikipedia.org/wiki/Symbolic_annihilation Symbolic annihilation] | ||
Revision as of 18:33, 11 March 2019
Contents
INFO
Karlijn den Hoedt
0911497
Graphic design
projects I have worked on before
Digital Craft 2018: Cybernetics
GENERATING IMAGES - DEEP DREAM
First try out to generate images by using the deep dream program from google.
Original
Original
IMAGE RECOGNISING - CAPTIONBOT
I asked myself the question if a computer can read a photo/ a framed event/ and the emotion or meaning of it. I did this on a online generator which is called CAPTIONBOT
The result was not as good as I hoped because the bot only recognised presidents and made weird captions for the other pictures. But I did found a lot of free open source image recognition programs on GitHub which I want to try out for better results.
IMAGE RECOGNISING - DENSECAP
the picture is taken in the day. the two <unk>. the curtains are white. a building is in the background. a plane in the sky. the sky is blue. the <unk> are white. a window on the wall. a brown and white striped pole. a red and black chair. a green and white building. a pink pole. the building is white. the window is open. a blue blanket.
the smoke is red. the sky is blue. the photo is in the background. the wall is white. the buildings are in the background. the building is green. the sky is white. a building in the background. the sky is clear. a building in the background. a green and white striped box. the buildings are in the background. a large green tree. a green and white box. the trees are green.
a picture of a building. a large stone building. a white table. a man holding a statue. a palm tree. a black pole. a building is in the background. a yellow and yellow clock. a tall building. the sky is clear. the building is made of wood. the wall is white. a white pole. a tall pole. the table is white.
the people are in the background. the sky is blue. a blue and white wall. the people are sitting in the stands. the people are in the water. a large rock. a picture of a cake. the window is blue. the window is white. the sky is blue.
a picture on the wall. a man wearing a black jacket. a picture on the wall. a man is sitting on a bed. a person sitting on a bench. the mans shirt is black. a picture on the wall. a black backpack. a man is holding a wii. the mans pants are black. the man is wearing black pants. the head of a man. the hand of a man. a black shoe. a black shoe.
a woman is holding a camera. a woman is holding a horse. a woman is holding a horse. a woman holding a horse. a woman and a woman. the head of a man. a man wearing a black jacket. a white hat. a man wearing a black jacket. the pants are white. a white pole. a woman is wearing a black jacket. the helmet is black. the man is wearing a white shirt. the hat is red.
WRITERS / PHILOSOPHERS / JOURNALISTS / ORGANISATIONS
Guy Debord
Bellycat
