Create a robust computer vision model for accurate vehicle counting and classification in images and videos

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.

Hello, How are you? I have 6+ years experience in OpenCV , Machine Vision / Video Analytics and Machine Learning (ML) . I can assist you with this project and deliver it as soon as possible. Please leave a message through chat so that we can discuss the details of the project.

Hello, I am very familiar with the requirements of your projects, and I can complete them quickly. Let's connect over chat to discuss this further.

Hello Sir, I hope you are doing well. I will be able to help you with your project. I read through the description and it sounds like I am just the right person for it. I have the right skill set with sophisticated experience in Python, Software Development, Machine Learning (ML) and deep learning in both Tensorflow and Pytorch, NLP, Object Detection, OpenCV,Reinforcement Learning, TIME SERIES FORECASTING. We already developed this kind of project and we have successfully completed that. I can show the demo as well for working product . I am looking forward to working with you and if you have any further questions I would be happy to answer them. Best regards, Tanuj

I can create a robust computer vision model for accurate vehicle counting and classification in images and videos. I am a freelancer having 7 years of experience in Python Language Development. I'm having the following skills in python: ◈ Object-Oriented Programming (OOP) in python ◈ R programming ◈ Jupyter notebook and Google Colab ◈ Data structures and Algorithms ◈ Web development with frameworks such as Django, Flask, and Streamlit and others ◈ Machine learning, deep learning, and Artificial Intelligence ◈ Database integration, including SQL and NoSQL ◈ Data analysis and visualizations ◈ Text processing and natural language processing, Tokenization ◈ Debugging and troubleshooting ◈ Functional programming. I hope I'm a good candidate for your project. I will deliver your project on time with quality assurance at affordable price. Please message me so that we can discuss more about your project.

Hello there! My name is Zhenis and I am a professional developer with extensive experience in the field of technology. I understand that you are looking for someone to create a robust computer vision model for accurate vehicle counting and classification in images and videos. I have the necessary skills and experience to help you achieve your goal. My focus is always on delivering top quality results within the specified timeframe so that you can get the project done quickly without any issues. I have worked on many different types of projects in the past, including mobile and web development as well as game development. This makes me an excellent choice for this project because I know how to create efficient models that provide reliable results without taking too long to complete. If you choose me for this job, you can rest assured that you will get accurate vehicle counting results within 90-95% accuracy rates as well as reliable results within the specified timeframe.

Hi There, Good day! Hope you are doing fine. ⭐⭐⭐ I have gone through your initial project requirements and but I would like to ask question before start your work so that I can able to deliver work on time with specific details⭐⭐⭐ ⭐⭐ I will work with milestone only and release money as per good work progress. ⭐⭐Let's have a quick conversation on the details to proceed further with this project. We look forward to work with you:) Thanks And Regards Your Developer

Hello there! I am Diana, a dedicated machine learning expert with strong ethic and motivation towards what I do. I understand that you are looking for someone to create a robust computer vision model for accurate vehicle counting and classification in images and videos and I believe I am the perfect fit for this project. With my experience in machine learning and an understanding of how to create robust models that can accurately count and classify a variety of vehicles, such as cars, trucks, buses, and bikes, I believe I can deliver results both accurate and efficient with reliability required. I have extensive experience in machine learning - specifically in the area of training computer vision models. This includes using deep learning for efficient model training as well as understanding how to create models that can accurately count and classify vehicles with high accuracy rates between 90-95%. I'm excited to help you achieve your project goals. If you give me the chance to work on this project please let me know how I can help! Please feel free to reach out with any questions or queries regarding this job or any future projects. Thank you for your time!

I am an experienced computer vision and machine learning expert with a strong proficiency in OpenCV and TensorFlow. I am well-equipped to tackle your project's requirements for vehicle counting and classification. My proposed bid for your project includes developing a robust and efficient computer vision model that can accurately count and classify vehicles, such as cars, trucks, buses, and bikes, with an accuracy rate between 90-95%. I will leverage state-of-the-art deep learning techniques to ensure precise analysis of each vehicle in both images and videos. The model will be optimized for speed and reliability, allowing for real-time or near-real-time processing. Additionally, I will implement extensive testing and fine-tuning to ensure that the results are consistent and reliable. With my expertise in machine vision and video analytics, I am confident in delivering a solution that meets your high standards for accuracy, efficiency, and reliability. Let's work together to achieve your project goals effectively.

Hello there, really interesting idea for the model you have, let's do one thing, let me give you a starting point in the form of a skeleton approach here, have a look, and if you think it's a good enough starting point, hit me up. I've previously built models to recognize vehicles and their number plates, so I understand how this can be done. Technical Approach: Data Collection: Assemble a diversified dataset of images and videos across various lighting and weather conditions, including congested traffic scenarios. Preprocessing: Implement image normalization, augmentation (rotation, scaling), and region-of-interest (ROI) extraction to enhance model training robustness. Model Architecture: Utilize a dual-stage approach where the first stage detects vehicles (YOLOv5/SSD) and the second stage classifies the detected vehicles using a fine-tuned CNN (ResNet-50/VGG-16) for specific vehicle attributes. Training: Apply transfer learning to leverage pre-trained weights on ImageNet, followed by supervised learning on the custom dataset. Use data augmentation to improve generalization. Optimization: Integrate batch normalization and dropout techniques to prevent overfitting. Employ quantization and pruning for model compression, ensuring efficiency. Evaluation: Perform cross-validation using IoU (Intersection over Union) and mAP (mean Average Precision) metrics for detection accuracy, and a confusion matrix for classification tasks.