HELP!! Train a model to recognize ambulance sirens.

Greetings, Thank you for considering my application for this project. As an AI Engineer and Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

Hi, My name is Seyed Amirreza, an AI expert with extensive experience in machine learning, Python, image processing and video processing. I have almost 4 years of experience in Machine Learning/Deep Learning algorithms. I can implement various types of Artificial Intelligence, Bayesian Networks, Deep Networks, and other algorithms including yours with Python (using scikit-learn, TensorFlow and Pytorch). I have worked some well-known models like, YOLO, RCNN, FastRCNN, Faster-RCNN, U-net(including different backbones; resnet, pspnet), Deeplab (v1, v2, v3, v3+ versions), and etc. Also, I have done artificial intelligence algorithms including, computer vision, GAN (DCGAN, CGAN), segmentation models (U-net, Deeplab) and etc, with Python. My track record of success with similar projects is proof that I can deliver results quickly and accurately. Please feel free to contact me if you have any questions or would like more information about me or my skills. I can provide the requirements with minimum time and cost.

Hello, I am a researcher and trainer in computer vision, machine and deep learning having PhD in Computer Science with 25+ years of experience. I have worked on several research projects in these domains with few research publications as well. I have strong theoretical knowledge with hands-on experience in AI/ML, Computer Vision, NLP, Python, OpenCV, Tensorflow, PyTorch, MATLAB etc. I do possess state-of-art knowledge of computer vision topics including image and video processing, image enhancement, image classification, object detection, object recognition, image segmentation, image measurements etc. along with deep learning techniques. I have extensively worked on YOLOv8 and can work on your project. I will need your ambulance dataset for retraining the model. Hope to have further discussions in this regard to know more. Thanks.

As an artificial intelligence expert with over 12 years of experience, I have a deep understanding of machine learning and computer vision. My expertise includes a strong command over Python, which is crucial for resolving issues with the YOLOV8 model. Throughout my career, I've used popular libraries like TensorFlow, Keras and Pytorch to develop accurate predictive models, recommendation systems and natural language processing algorithms. This knowledge will be invaluable in debugging and fixing the mislabelling issue on your pre-trained YOLOV8 model. Beyond just understanding how YOLOV8 works, I can promise you an exceptional eye for detail and solid troubleshooting skills. My work history proves that I have deployed numerous successful ML models in various domains and I'm not afraid to get my hands dirty when it comes to solving complex problems. In fact, I have even trained other people on similar projects like the one you're undertaking. Furthermore, I'm adept at integrating ML models into applications; this allows me to not only solve your immediate problem but also offer you guidance on incorporating this upgraded version of your ambulance detection software into your existing system securely. Therefore, if you choose me for this project, you can be assured of a very quick and time-effective solution with robust future-proof si

Hi there, I understand the urgency of rectifying the mislabeling issue with your YOLOV8 ambulance detection model. Here's how I propose to address this: 1- Thorough Analysis: I'll conduct a detailed analysis of the mislabeling issue to pinpoint the root cause, examining the training process and model configuration. 2- Debugging and Fixing: Leveraging my expertise in Python, machine learning, and computer vision, I'll meticulously debug the model and implement necessary fixes to ensure accurate vehicle and ambulance detection. 3- Testing and Validation: I'll rigorously test the corrected model to validate its performance and ensure that vehicles are correctly classified without mislabeling. With my experience in machine learning and YOLOV8, I'm confident in delivering a reliable solution to resolve the mislabeling issue effectively. Let's discuss further to collaborate on this project. Best regards, Islam Amer

Hi! Pleased to meet you on this platform. I just read through the job details and attachment and I can help you with balancing and adjusting your dataset threshold for a more accurate output. Let's discuss more on chat about your requirements and budget. Warm Regards. Bc

As an AI specialist with a passion for leveraging machine learning and computer vision to deliver innovative solutions, I am ideally suited to help you fix the mislabeling issue with your YOLOV8 model. My comprehensive understanding of how YOLOV8 works and my experience in rectifying similar problems make me well-prepared for the task at hand. Over the past four years, I've worked extensively on projects involving object detection and identification, which helped me develop a meticulous eye for detail and strong troubleshooting skills. In your project, my focus will not just be on resolving the specific issue at hand but also on creating a robust solution that consistently recognizes ambulances against other vehicles. Apart from my technical skills, my loyalty is also invaluable. My principle of 'I believe! I Can' reflects my motivation and commitment to approaching challenges head-on like the one you're facing currently. I'm ready to collaborate and create a solution that brings back precision to your application. Let's fix this problem together in a way that enhances the performance of your Python application further!

hi , we can start troubleshooting from raw file used for training and let’s see the python code , i believes there’s couple option to solve the missmatch label issue , let’s discuss for more , thanks

I am a seasoned AI engineer, with extensive experience in machine learning and computer vision projects, including working with the YOLOV8 model for real time object detection. I am confident that I can rectify the mislabeling issue in your Python application. I can help with detailed analysis, debugging and testing, documentation and support. I am committed to delivering high-quality results that meet your requirements and exceed your expectations. Let's collaborate to ensure the success of your project!

With prior experience in machine learning and object detection, particularly with the YOLOV8 model, enabling me to efficiently troubleshoot and rectify the mislabeling issue in your vehicle detection as ambulances