We are looking for a computer vision expert who can write for us a module to recognize objects from a picture (vegetables) and estimate their quantity (as a percentage).
Example picture attached. As you will see this is a mix of different vegetables. We can get better quality picture if that would help (and also stereoscopic image if 3d would be helpful), but we would like to start with a simple model and then can improve afterwards.
The colors of vegetables are quite different, so the most basic model could try to simply distinguish objects by colour alone.
The ideal solution (but more complex) would use some AI / machine learning, and first train the module with examples of different vegetables.
The module can be written in a language of your choice (with preference for python if possible).
Please read carefully the description before bidding. Generic bids will be rejected. We are looking forward to working together - possibility for long-term work if the proof of concept module can demonstrate promising results.
Please do not hesitate to ask for any additional questions.
33 freelancers are bidding on average $610 for this job
Very Interested in this project! I have solid knowledge and experience in these fields, So I can do this project with good quality in a short period time. I am looking forward your positive response.
It is very familiar for me. I 'd like to apply to it feature vector based FCM and density estimate clustering , etc. I have many experiences in such project. Please believe me. I would not let down you.