Computer vision
Budget $30-250 USD
Program for windows will accept input of an image of person and detect if human being or part of human being is in the image, then it will output image with one the following:
Skin filled in with gray color.
the human or part of human filled in with gray color.
This can be based on skin color and/or facial recognition algorithms or machine learning approach.
All code needs to be open, unlicensed.
Prior to accepting your bid, you will have to inform me of your algorithm/general approach.
The program does not any fancy UI just simple input,output.
Deliverables include clear professional source code written in c with comments and documentation and a compiled version.
I attached an example.
12 freelancers are bidding on average $186 for this job
Hi,Dear I am a Computer Vision and Deep Learning Expert. I have took part in many CV projects. I am interested in your project. Hope to discuss more. Thanks
Hi! I am professional C/C++/C#/Java/Python programmer. I can do this project with highest quality! Best Regards, Szymszteinsl
A multi-skilled, reliable & talented Academic & Research Writer with a proven ability to Write Academic Papers, Report Writing, Research Writing,proofreading,article writing ,Translations among all the world’s language More
Hi,dear. I am a senior software developer. I have just checked your project report, I am able to perform this task with my developer team. I am looking forward to your proposal...
Hi, I can start work on your project immediately once you confirm me and i am also open for further discussion if you want. I have 7+ years in web designing & development with good experience in following skills More
Hello, I'm a young engineer and I have worked on a similar project using Python and OpenCV. This would be my first project as freelancer and I'm motivated to accomplish this project with you. Looking forward to dis More
Hi We have expertise in carrying out classification projects, and have a working understanding of Artificial Neural networks as well. We have academic understanding of decision trees, SVM and other techniques as we More
