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
43 freelancere byder i gennemsnit $836 på dette job
Hi I have been doing deep learning and python development since 2017. I have experienced several state of the art models like inception, vgg, resnet and densenet. Lets discuss
HI, I am an expert in Machine learning. I did many text categorization previously. I can do your project perfectly. Waiting for your response. Thanks.
Dear As I am mobile and web expert, have rich experience with web site and application development If you are interested with my proposal, please let me know it. I hope to work with you on this project. Thanks.
Hi, I am very interested in your project. I have enough experience in python with OpenCV for ML I 'd like to discuss more detail over chat. I am looking forward to hearing from you soon. Best regards.