Found 56 results across multiple categories Typo-tolerant
A tale of friendship between two unlikely pen pals: Mary, a lonely, eight-year-old girl living in the suburbs of Melbourne, and Max, a forty-four-year old, severely obese man living in New York.
Matched on alternative names: Mary və Max , name: Mary and Max
This is the story of human beings who know exactly what they'd do if they were somebody else, but can't handle being themselves very well, who are very simply struggling to find out who they are.
Matched on alternative names: Se på mig , name: Comme une image
The working class twin sister of a callous wealthy woman impulsively murders her out of revenge and assumes the identity of the dead woman. But impersonating her dead twin is more complicated and risky than she anticipated.
Matched on alternative names: Hvem ligger i min grav?
April 1945: Gregor Hecker, 19 years of age, reaches the outskirts of Berlin as part of the Red Army's scouting team...
Matched on alternative names: J'avais dix-neuf ans
A cinematic odyssey featuring never-before-seen footage exploring David Bowie's creative and musical journey.
Matched on alternative names: Untitled David Bowie/IMAX Project , actors: Max von Sydow
After thirteen years in Germany, Fernand is coming back to his wife and his restaurant. But since his disparition, his wife as made her life with a norman chef, sympathetic but a specialist of butter's cooking when Fernand cook only with oil!
Matched on alternative names: Vaimoni mies , actors: Mag-Avril
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Many thanks for the shouts @tashtego0811 @Arevulopapo @RDPL55 @lederniermetro @lezard @austintower @greyhound & @michaelrouayroux !
Very mixed feelings about this movie, but can't say it doesn't have some memorable images!
Hey,
Pour ta première question, non il n'y a que moi qui peut faire ça, désolé. Ca s'appelle un cinemagraph, c'est un mix de gif/image fixe.
Pour ta deuxième question, j'ai tout simplement crée une IA que j'ai entrainée sur un dataset conséquent que tu connais bien : notre propre base de données d'images. J'ai pris les images qui avaient au moins un tag associé, puis j'ai restreint l'identification d'elements/tags aux plus utilisés sur le site (b/w, animation, car etc). L'IA est en mesure de suggérer environ 200 tags différents mais je continue à essayer de l'améliorer dans l'ombre.
Tu peux voir un article que j'ai écrit à ce sujet sur la préparation du dataset d'entrainement de l'IA. La création de l'IA pure sera expliquée dans le prochain article.
