Machine Learning Text Categorization Grouping Coding
$250-750 USD
착불
Users submit videos to our site with -any- category name after uploading a video, and based on objects/events detected in the video, and transcription of the text, we want to confidently approve a video if it's over a certain score. If it's below, we want to manually review.
Image category name as 'Grilled Cheese Sandwich'. Our object recognition might detect hamburger, bread, car, human, bird, shoe. In this scenario, we think it would be best to approve the video because hamburger and bread are similar to 'grilled cheese sandwich'.
Our videos will be from any type of category, for objects or events. Car, Tire, House, waterfall.
If you think you can solve this problem, please explain to me why you are best and your strategy. If you have the best solution, I will hire you to write a script
프로젝트 ID: #19661491
프로젝트 소개
이 일자리에 대한 프리랜서 26 명의 평균 입찰가: $855
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Hi there, I have read through your project description. Do you a working model for image recognition or we just want to build? Then can you tell me more about the videos? I will be looking forward to hear from you. P 기타
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