Traffic signs detection by deep learning
$750-1500 CAD
Thanh toán khi bàn giao
This project is to build a computer vision system with deep learning. For each image of the given video, all the traffic lights, traffic signs, boards and milestones are to be detected and classified correctly, result should be visually highlighted upon detection. The students must explore the plausible algorithms to implement the required image processing tasks and classifiers, which are portable to a hardware
ID dự án: #16514792
Về dự án
19 freelancer chào giá trung bình$1177 cho công việc này
Experienced data scientist who has worked on several computer vision projects including object recognition, pedestrian tracking in cctv camera feed etc. Would like to know do you have dataset t train the algorithm? Thêm
Helo I have experience with Image Processing and Mach Learning. Can we discuss more about your project. Regards
Hi there..... Warm Greetings We came along with your request for Traffic signs detection by deep learning and we reviewed your project description. We'd like to help you with confidence and satisfying results... Thêm
Hi there, I would like to be considered for your project. I have 3+ years of experience in Computer Vision and Deep Learning. I will be glad to help. Best Regards, Andrew
We are team of Scientists and Developers having rich experience with Artificial Intelligence Techniques and Machine Learning Techniques like Neural and NLP. We have done extensive research on Facial Recognition and Com Thêm
I already have built this system. Deep learning is my strong skill. I can provide a proof of concept as soon as possible if you need. I can get this work done. I can also do this for videos. Consider my proposal. I can Thêm
Hey there, I did this project before for Self-Driving Cars, so I am confident I can do it again and better. I also worked at NVIDIA before, in Deep Learning Research.
I have done similar project before using openCV and python. Relevant Skills and Experience OpenCV, python, Keras backened by tensorflow, AWS.