Find & annotate 1000 pictures of pedestrian crossings for use in Tensorflow image recognition

Hi there, I am Machine Learning, Deep Learning, Computer Vision expert and working in these fields from the past 3 years. The major field in which I have worked on including Deep Learning, Machine Learning, Digital Image Processing, Computer Vision and Neural Networks. The main tools that I have used for implementation is MATLAB, Python, OpenCV and TensorFlow. I put 100% effort on your project. I accept and can deliver a professional, finalized, and creative output in a timely manner, every time. I love to help people grow their businesses. Kindly reply me, so that we can discuss more. Thanks

Hello. I would like to help you annotate the images. I am very familiar with LabelImg software for image annotation and I’m also experienced in object detection/recognition.

I will use CNN to recognize objects. Relevant Skills and Experience I have developed similar projects.

Hello! I am a python developer. I looked at your project and it seems interesting. I am expert in tensorflow, object detection, object tracking, face recognization, image classification, and have all necessary skills required for this project. Ping me to discuss in detail.

Hi, Greetings!! Myself Ajai, Software engineer from India and currently I am working on Machine learning project (Tensorflow mobilenet SSD). For my project i have already used 'LabelImg' tool for image tagging and annotation. Since i have experience on this already, i can do this task. Waiting fro your response. Thanks, Ajai

Hi, I am a machine learning researcher. In order to do my research work I need to collect data very often. So I have a nice team with me specialized in data collection. They are able to collect pedestrian crossing data with traffic light. We take pictures from the ground. My collected images will be of very high quality suitable for feeding it into machine learning model. But you haven't told whether the needs to be any country specific or general and how the annotation would be done. Please feel free to message me with details. I am ready to do your work with integrity. Thanks.

I do 2d 3d annotation. I also use Lidar and Raildar for me to provide data to the automated vehicle.

I do the job Relevant Skills and Experience .......

Hi, This is Amr Elsherbini, currently a master's student studying robotic systems in RWTH Aachen University, I have actually studied Machine Learning and have some experience with Tensor flow as well. I have a bachelor degree in Mechanical Engineering and have worked as a quality Engineer in Water Treatment for Suez WTS previously known as GE Water. Here is the image size for reference: 376x672 Hope to hear back from you soon, Amr Elsherbini

A freelance Light detection ranging (LiDar) tasker for self-driving cars, image and video annotator/reviewer, polygon and semantic segmentation tasker with more than two years of experience working with different companies and projects who develop computer vision and artificial intelligence technologies Strong skills in time management, prioritizing task and working with a high degree of accuracy and speed within a deadline-intensive setting. I am self-motivated, hardworking, quick learner, and capable to follow instructions easily. I can deliver projects quickly and accurately with 98-100% accuracy. I am keen to details, organized and love to multi-task. I am confident that we will do great work together.

Hi.. I am working in TBI. I am expert in machine learning, tensorflow and AI. All my projects are on object detection and tensorflow. I'll lift out all the projects. Weed detection using tensorflow where I trained using RCNN model and detected accurately. Similarly many projects like Density based traffic control system where count of the detected vehicles is used for making decision, hands gesture controlling of applications and persons detection in bus which is similar to face detection. Without using environmental way I'll get you all the source code necessary for you with all the necessary packages installed. The trained model can work in any nvidia gpu installed systems. I think I could complete within 3 days. Waiting for your response Thank you