Fynd

Nearby fashion shopping

4.7
3 reviews

16 followers

VogueAI is a complete AI-driven solution for any digital content with fashion. This solution can take any movie, web series, or short videos and detect keyframes with uniques fashion trends in entire video sequences.
This is the 4th launch from Fynd. View more

VogueAI

Automated fashion extraction from videos
VogueAI is a complete AI-driven solution for any digital content with fashion. This solution can take any movie, web series, or short videos and detect keyframes with uniques fashion trends in entire video sequences.
VogueAI gallery image
VogueAI gallery image
VogueAI gallery image
VogueAI gallery image
VogueAI gallery image
Launch Team
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What do you think? …

Jim Engine
That's quite cool when you ask me 😌
Pradeep Tiwari
Thanks @officialexaking , give a pass to this blog to know how we made it https://blog.gofynd.com/ai-power...
Farooq Adam
Hello hunters, Our story goes like this, We were struggling with Fynd Trak(https://trak.fynd.com/) go to market strategy due to the physical store closing last year, so we course-corrected our product for digital videos instead of CCTV feed using the existing platform. We are two-pizza team size of 6 and proud to introduce "VogueAI". it is a complete AI-driven solution for any digital content with fashion. it is powered by the Fynd Trak video analytics platform. This solution can take any movie, web series, or short videos from TikTok/insta reels and detect keyframes with uniques fashion trends in entire video sequences. Our AI pipeline leverages multiple deep learning models to spot, extract, and combine multiple fashion trends in a seamless manner.
In the above video, we demonstrate a simple use case from the Netflix web series Emily in Paris where we use IMDB data to spot main characters in videos, track unique fashion trend via our in-house trained models (object detection, object tracking, post-detection, body part segmentation, frame clustering, image quality assessment, and fashion attribute prediction) along with many custom filterings like gender, lighting and scene analysis. Our pipeline is automated and you can try your own video at https://vogueai.aml.fynd.com/ also, check https://emilyinparis.web.app/ how using VogueAI we extracted fashion from Netflix Emily in Paris we would love to know your feedback or suggestion on the same know more about us at https://research.fynd.com/ check out https://trak.fynd.com/ For any collaboration contact us at research@fynd.com
Carolline Miranda
Nice one, really cool!
Pradeep Tiwari
Thanks @a_carolline_m_f . check https://emilyinparis.web.app/ how using VogueAI we extracted fashion from Netflix Emily in Paris
Daryll Wong
Haha, the animations are quite nice!
Pradeep Tiwari
Thank you @daryllman . Our animator will be happy after reading your comment 😀 All animation inside video are auto generated programmatically
Vladimír Seman
seems cool, but what is the use-case? i guess i am missing something
Pradeep Tiwari
Thanks @vladojsem for asking . Once VogueAI identifies keyframes from any video for digital content creator , it opens interactive commerce possibility in their platform like interactive shopping , smart In-Video Ads Insertion, Summary Video Creation and many more Just imagine you watching movie on nextflix or any ott platform in your browser and you liked certain outfit , You can directly check and see that product listing once ott platforms will add visual search to extracted keyframes. Just like currently they do for actors quick summary at that particular frame In near future we will be adding visual search to extracted keyframes to find similar items inside VogueAI Our target audience is mostly short video/ott platforms, movie/sports production house. Kindly check trak.fynd.com to know more about our tracking capabilities And research.fynd.com to know more about us
Lex Deak
Nice pivot guys 👏
Pradeep Tiwari
Thank you @lexdeak 😀 Check https://www.producthunt.com/post... 3 week back we launched realtime tryon e2e solution for makeup We would love to know your thoughts on same
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