Vehicle Tracking with Machine Learning

Dear employer. I am Gang Lee, developer . I've just read your job posting and I'm very interested. I'm a certificated freelancer with almost 1000 good reviews from clients. I'm a Good C, C++,c#,Object-C, Video Streaming, OpenCV, Math, java,SQL, Swift, Algorithm expert. I m quite well experienced in these jobs. I want to service for you continuously. Thanks.

Experienced data scientist who has worked extensively on computer vision projects including pedestrian tracking, OCR, emotion detection etc. Have used rcnn previously as well. Would like to know more details about the project. Looking forward to hearing back from you.

Hi I have my masters degree in DEEP LEARNING my profile here on freelancer is embedded oriented. I have implemented the YOLO before too . Please get in touch to get started Waiting for your reply to start Regards

Hello, I have Worked on NVIDIA 945-82771-0000-000 Jetson TX2 Development Kit. I am sure i can complete this project as i have also worked on Real Time Vehicle tracking project before. Please send me more details of project so i can ask you questions that are in my mind. Thanks, Chanchal

HI, I am self driving car engineer from Udacity.I have 10years plus total experience, I have 5 years plus experience in machine learning and from 2017 I am working on object detection project. I'll use the cloud for training Nvidia Jetson TX2. I am a startup partner of a company in Bangalore, India. I am ready to join your team for a monthly payout of 2000USD and 7.5% share as machine learning engineer if you are searching for this.

hi nice to meet u i am a machine learning expert i am very good at processing video with vehicles let us discuss u can expect good results from me thank you in advance

I have experience with R-CNN. I work as a data scientist and got my PhD in machine learning. I have experience with computer vision and image recognition. Please provide more details

HI Sir, I have delivered several CNNs for image analysis and generation. I have in depth experience and understanding of CNNs. I have created an image classifier that achieve 99.6% accuracy using CNN. I'm familiar with all new architectures: - AlexNet. - Inception V1, V2, V3 - ResNet - SeNet - MobileNet - YOLO V1, V2 Regards, Amro

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Hi. it's nice to meet you. I just checked your "Vehicle Tracking with Machine Learning" and feel that that project really fits to me. since i am strong at YOLO . Looking forward to discuss with you soon. -Regards Sun xiwu