Custom YOLO object detector for edge devices

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,SQL, MERN stack, Django, Flask, Machine Learning (ML) and deep learning in both Tensorflow and Pytorch, NLP, Object Detection, OpenCV,Reinforcement Learning, TIME SERIES FORECASTING. Project List Object Detection algorithms(MASK RCNN , Faster RCNN. SSD, YOLO all variants) used for various projects created 3d maskRcnn for CT scan data for lung nodule customized yolo for wheat grain defect detection more than 300+ grains in single image traffic count along with all direction, Included four way as well segformer for sattelite data segmentation. yolo based card game site website analyzer working with non rgb dataset, advance mask detection with saftey and privacy measures scene graoh generation based on yolo CNN project list. ODIR recognition(competative results) Leaf disease detection android app Medicle related projects lung cancer nodule as mentioned abobve edema detection(paper implementation) oDIR recognition working with X_ray images other projects stable diffusion time series forecasting we have worked on lot of projects including all the above projects I am looking forward to working with you and if you have any further questions I would be happy to answer them. Best regards

With an extensive background in AI and firmware engineering, I am your go-to expert for building your custom YOLO object detector. My understanding of this project is amplified by my ability to optimize AI models to ensure efficient resource utilization, a critical consideration given the target hardware's performance limitations. Specifically, I have worked with and optimized code for NVIDIA Jetson Nano to maximize its GPU (NVIDIA CUDA) execution potential while still catering to its CPU requirements. A testament to my capacity is my proficiency in leveraging Python for both training and inferring code. Being a language well-equipped for machine learning tasks, it promotes flexibility and robustness in building the models we need even as we target complex inputs like frames. Moreover, the list of datasets used will be made available for your reference, promoting transparency and ease in future stages of development or updates. Lastly, I bring more than AI skills to the table - my expertise in embedded systems and automation ensures a holistic approach towards deploying our detector onto edge devices effectively. I can integrate your YOLO model with microcontrollers and optimize it further for any specific needs you may have during industrial applications. Choose me for a comprehensive solution that looks past just the software pigeonhole and envisions an end-to-end system that empowers your business service.

Hi! Pleased to meet you on this platform. I just read through the job details and can help you with this object detection task. Let's discuss more on chat about your requirements and budget. Warm Regards. Bc

With a warm welcome, I'm Deepak, and I'm excited about the prospect of collaborating on your custom YOLO object detector for edge devices project. My expertise lies in Android/iOS development, Python (including Django) and Artificial Intelligence, which makes me the perfect match for this job. With over 8 years of experience, I've been consistently delivering high-quality work to my clients' satisfaction, often before the assigned deadline - so rest assured about time efficiency from my end. I understand the need for resource optimization in edge computing and have prior experience working with Nvidia Jetson Nano - making me adept in balancing RAM and CPU usage proficiently. Additionally, as a Versatile Developer, I've implemented optimal solutions using both CPU and GPU methods (NVIDIA CUDA) ensuring maximum performance. To guarantee portability and streamline your project goals, I'm well-versed with ONNX format along with generating training & inference codes in Python. Lastly, but most significantly – I've built numerous real-time object detection systems that share similar use cases to your project, providing you with a compelling foundation of knowledge and experience to build upon.

As a member of Madnik Pvt Ltd, I bring you the combined talents and expertise of our four college students, making us versatile yet reliable. Currently, we are doing extensive work in Machine Learning, Python and NVIDIA’s Jetson Nano platform for edge deployment aligning perfectly with your requirements. Our firm belief in precision has enabled us to train various models and convert them into an optimized form for portability - ONNX format, which suits your hardware preference. Efficiency in resource utilization - whether it's CPU or GPU is crucial for successful edge device deployment. The team at Madnik Pvt Ltd can ensure this optimization using NVIDIA CUDA execution. With substantial experience in YOLO object detection, we can train an accurate and fast model that identifies the range of objects you seek within a frame. We understand the significance of clean code and proper documentation. So, not only will we provide you with robust training and inference code in Python but also a comprehensive list of datasets used. Madnik Pvt Ltd is committed to meeting tight deadlines without compromising quality. Harnessing our deep knowledge of Computer Vision and AI, including Machine Learning, would ensure an impeccably designed custom YOLO object detector for your unique use case. Reach out and let's construct something extraordinary together!

_Advanced Computer Vision Expert with a focus on Edge Deployment_ Hey, I’m Adityakhumar and I’m thrilled to tailor a custom YOLO object detector for your edge devices. Having mastered the intricate nature of PHP, the core language supporting ONNX models, my skills align perfectly with your project goals. With proficiency in C programming and parallelization techniques like NVIDIA CUDA, I can optimize your model's execution for efficient resource utilization on both CPU and GPU, a crucial feature for your edge deployment. Furthermore, thanks to my broad API integration knowledge, I can write the necessary training and inference codes in Python that help communicate with your hardware seamlessly. My understanding of Git indispensable when working on a project as collaborative as this, will ensure a streamlined development process from beginning to end. Lastly, my commitment to staying up-to-date with evolving technologies guarantees you top-notch solutions founded on industry-best practices. Having delivered countless projects successfully in the past – large or small-scale – I bring forth not only expertise but also an unwavering enthusiasm for achieving excellence. Let me transform this desire into an impactful object detection system to meet and exceed your expectations.

I have ample experience with GPU execution and resource utilization which aligns perfectly with your demand for minimizing CPU and RAM usage. Having worked with NVIDIA Jetson Nano, I understand the hardware complexities that come with edge deployments and can ensure optimum performance. Finally, let's not overlook the significance of clean and efficient coding - attributes that I am highly respected for possessing. My clean coding standards can be seen in my work: UI/UX design that is easy to navigate, efficient web scraping bots that save time and effort, high-performing eCommerce stores - all designed to optimize performance while delivering top-notch results. The combination of my technical prowess and desire for perfection make me your ideal freelancer choice. Let's chat further to see how we can transform your digital vision into reality!

I think I am the perfect fit for your project. Your requirement for a custom YOLO object detector for edge devices targeting ONNX format aligns perfectly with my expertise. I have extensive experience developing object detection models and optimizing them for efficient resource usage on NVIDIA Jetson Nano. I can provide both training and inference code in Python, ensuring seamless integration with your edge devices. I’d love to chat more about your project! Regards, Carlo.

✅Hi, how are you? As an AI and ML specialist proficient in Python, I've spent a large portion of my last 5 years honing skills crucial to your project's success. From creating efficient models and robust training codes to optimizing inference codes, I am well-versed in all things YOLO and edge device utilization. My expertise extends to the necessary hardware optimization required for smooth operation on NVIDIA Jetson Nano, considering both CPU and GPU execution aspects. Moreover, with a comprehensive understanding of object detection within computer vision, I am confident in the scalability and accuracy of the delivered model. My proficiency in Tensorflow, Scikit-Learn, OpenCV, Keras, and more aligns deeply with your project's requirements. So, you can be assured that not only will my code meet your needs, it will also be portable with ONNX format. In this fast-paced industry, staying updated with the latest tools and techniques is vital. I make it my priority to consistently improve my skill set to provide clients like you the most cutting-edge solutions available. By choosing me for your project, you are selecting dedication, versatility, and a drive for successful results tailored to your needs. Let me bring my passion for AI and ML together with my love for problem-solving to elevate your project to unprecedented heights!

Hey there! I'm Priyanshu Tiwari, a passionate web and app developer, as well as an AI and ML enthusiast. I would love the opportunity to partner with you on this exciting project to build a custom YOLO object recognition model for edge devices. My extensive experience in Python, C programming, and Machine Learning equips me with the right skill set to deliver accurate and efficient results to meet your unique needs. In terms of hardware optimization, I believe my expertise is well-aligned with your requirements. Having worked with NVIDIA Jetson Nano before, I understand the importance of minimizing CPU and RAM usage while optimizing for both CPU and GPU (NVIDIA CUDA) execution. This will ensure that our model is highly effective in its resource utilization. Not only can I create the training code, inference code in Python, and provide a list of datasets used for the development of the model, but also being a versatile developer, offers you an additional benefit. Post implementation support or any customizations can be done smoothly without involving multiple members bringing more accountability and efficiency to the process. So let's join hands for a great outcome together!

HI, I am a senior Software Engineer, Having 5+ years of experience with Yolo Object detection and openCV with Python/C#,C++. I have great experience in Video/Image handling I’m confident in my ability to contribute to your project’s success and look forward to discussing how I can help meet your project needs. Best Regards.

✨☀️*"Level up your day with joy, adventure, and a high score of happiness!"_ ☀️✨ Dear [Client's Name], Thank you for sharing your project requirements. I understand that you need a custom YOLO object detector in ONNX format for edge devices, targeting NVIDIA Jetson Nano. The model should detect specific objects such as Person, Smart Phone, Cigarette, and others, with optimized CPU and RAM usage for efficient deployment. I will implement this by developing a YOLO-based object detection model, training it on relevant datasets, and converting it to ONNX format for portability. The solution will include training and inference code in Python, along with a list of datasets used. I will optimize the model for NVIDIA Jetson Nano, ensuring minimal resource usage while maintaining high accuracy for both CPU and GPU execution. I am the ideal developer for this project due to my extensive experience in computer vision, YOLO model development, and edge device optimization. I have successfully completed similar projects, which required efficient object detection and hardware optimization. My systematic approach ensures that the model will meet your performance and deployment requirements. I can provide examples of similar work immediately and assure you of my commitment to delivering a high-quality solution tailored to your needs. I look forward to your response and the opportunity to collaborate on this project. Thank you! Best regards,

Hi, I have experience in developing a Vehicle Detection System using YOLO, giving me a strong foundation in ONNX format for maximum portability. With extensive experience in deep learning, model optimization, and edge AI deployment, I will ensure efficient performance on NVIDIA Jetson Nano, minimizing CPU and RAM usage while leveraging CUDA acceleration for optimal inference speed. With my expertise in YOLO models, ONNX conversion, TensorRT acceleration, and edge AI optimization, I can develop a highly efficient and portable solution tailored to your requirements. Let’s discuss further details to get started!

I have extensive experience in computer vision, deep learning, and model optimization for edge devices, including NVIDIA Jetson Nano, TensorRT, and ONNX-based deployments. I have successfully worked on real-time object detection projects, including pothole detection using YOLOv3 and real-time vehicle detection in my current internship. For your custom YOLO object detector, I will: ✅ Prepare and preprocess datasets for training (COCO, OpenImages, or custom datasets). ✅ Train a custom YOLO model with optimizations for ONNX export. ✅ Optimize for NVIDIA Jetson Nano (TensorRT, CUDA, and low-memory execution). ✅ Implement inference code in Python for real-time object detection. ✅ Ensure minimal CPU/RAM usage for efficient resource utilization. ✅ Provide complete documentation (training code, inference script, dataset details). With my expertise in Python, CUDA, and ML, I can deliver a high-performance solution tailored for edge devices. Looking forward to collaborating on this exciting project! Best regards, Moazzam Ali

Having worked specifically in the areas of ML, DL, AI and NLP, I believe my skillset aligns perfectly with your project requirements. Over the years, I have fine-tuned my abilities in Python, TensorFlow and PyTorch which I can put to good use for developing your custom YOLO object detector. During my previous projects, I have gained substantial experience in creating efficient AI solutions that transform raw data into actionable insights. This includes building and deploying predictive models as well as automating processes through AI. I always ensure that my models are optimized not just in terms of performance but also resource utilisation - exactly what you seek for your edge devices. Overall, as someone who is passionate about using AI for solving real-world problems and holds expertise in the technologies you are looking for, I am confident that I have the right skills and mindset to contribute meaningfully to this project. Let's work together to create a model that helps detect objects far more effectively with minimal CPU and RAM usage!