YOLOV11 for object detection

@GdevDataSceince

Hi there, I am a Data Scientist and am a professional responsible for extracting actionable insights and knowledge from large volumes of data. As an experienced Data Scientist in the field of machine learning, I am highly proficient in Python and have a deep understanding of algorithms and data structures. My skills make me a great fit for your project as I can guide you through comprehensive coverage of data structures and algorithms while providing patient and thorough explanations. I have over 12-plus years of experience with Python Library Pandas, Karas, TensorFlow, NumPy, PyCharm, Py torch, Open CV, NLP, and others. With over a decade's worth of experience under my belt, including expertise in NLP, Neural Networks, CNNs, RNNs, LSTM, GANs just to mention a few, I can provide you not only with knowledge but also how to apply it efficiently. Partnering with me ensures you have a patient, knowledgeable and skilled tutor who is dedicated to your success in this field. My top priority is to provide a high quality of work, https://www.freelancer.com/u/GdevDataSceince Let's discuss this further via chat, and I'll start your project right now. Thanks Gdev

@dorians2

Hi there, I have 7+ years of experience in Image Processing, Deep Learning, Python and can deliver a clean, reliable solution for your project. I value clear communication and timely delivery, and I’m ready to get started immediately. Let’s connect and discuss your goals. Best regards, Dorian

@jordanrafael7

Hello, ⏰☎️⏰ Gaining time means gaining everything. I won’t waste your precious time. I understand that you want to train a YOLOv11 model using a labeled dataset from Roboflow (Universe), run the training on Google Colab, and then receive a fully trained model with scripts so you can perform real-time detection from a webcam on your laptop or an NVIDIA-based device. ✅ My plan: • Export your labeled dataset correctly from Roboflow and configure it for YOLOv11. • Set up and run end-to-end training on Google Colab (environment, dependencies, checkpoints). • Validate and fine-tune the model for stable inference results. • Package the trained weights neatly in a folder structure. • Create clean, documented Python scripts for webcam inference (laptop + NVIDIA device compatible). • Guide you on how to run the model locally or on NVIDIA hardware without confusion. My hoping is what I should become freelancer of you. I am looking forward your invitation. Thanks.

@syeds273

Hey , I just finished reading the job description and I see you are looking for someone experienced in AI Development, Tensorflow, Image Processing, Object Detection, Computer Vision, Deep Learning, Machine Learning (ML), YOLO and Python. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am - 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Syed.

@vasylklymiu

Hi there, I am Vasyl, a seasoned developer with 8+ years of experience in Node.js backend and frontend technologies like React, Angular, and Vue. I have worked extensively on B2B/B2C SAAS projects and marketing tools. I have carefully reviewed your project requirements for training YOLOv11 on a labeled dataset in Roboflow and deploying the model to acquire real-time data from a webcam. I propose to use Node.js for backend API development, React for frontend interface, and appropriate tools for model training and deployment. I will follow an agile approach, setting up JIRA for project management and ensuring seamless communication. Let's discuss further to delve into the details and kickstart this project successfully. Looking forward to collaborating with you, Vasyl

@anasfreelance08

As a full-stack development team, we bring a comprehensive skillset to the table, with our versatile understanding of both frontend and backend technologies. Our team is well-versed in Python, which is essential for your project involving YOLOv11 and object detection. We have ample experience in training models on various datasets, including labeled ones, and integrating them into different platforms, like Colab and local devices. Moreover, our expertise extends to database management and server-side programming, both vital aspects for your project. With our proficiency in SQL and NoSQL databases, we ensure efficient data storage and retrieval. As we train your YOLOv11 model on the labelled dataset using Roboflow in Universe, you can be confident that it'll be methodical and accurate. Lastly, I understand how crucial the timely delivery of projects is. Our team has developed a reputation for delivering high-quality work within deadlines. Excited about this opportunity to collaborate with you to enhance your object detection capabilities with YOLOv11!

@Cprice07

✅Budget: $50 USD | Timeline: 2 days✅ As an AI/ML expert with rich experience in modeling, I’m genuinely interested in training YOLOv11 for your project and confident I’m exactly the developer you need to deliver a ready-to-use object detection setup. A likely challenge is ensuring the trained model runs efficiently on both a laptop webcam and NVIDIA devices, which I’ll handle by optimizing the Colab training pipeline and exporting a lightweight, inference-ready model with proper device selection. For flexibility, I’d provide a script that allows easy swapping of datasets or cameras for future object detection needs. I’d prefer to connect directly to confirm dataset access and runtime environment before starting.

@BlocKeyFi

Hi Machine, I understand that you are looking to train YOLOv11 on a labeled dataset in Universe Roboflow and then have the trained model saved in a folder. Additionally, you want a script that can acquire images from a webcam on a laptop or NVIDIA device. My technical strategy involves meticulously training YOLOv11 on the labeled dataset using Colab to ensure optimal performance. I will then develop a script that seamlessly acquires images from a webcam on your desired devices and saves them to the specified folder. You can expect to receive a fully trained YOLOv11 model, a script for acquiring images from webcams, and organized folders for easy access to the model and images. I'll send over my portfolio via direct message. Feel free to reach out there. My background in computer vision and deep learning ensures reliable results, professional standards, and seamless execution. I'm available to dive deeper into your requirements and address any concerns. Best regards, Taneem

@dominicd28

Dear Client, Good morning . I hope this proposal finds you well. This is to inform you that I have KEENLY gone through your project description, CLEARLY understood all the project requirements as instructed in your project proposal and this is to let you know that I will perfectly deliver as desired. Being in possession of all stated required skills, (Machine Learning (ML), Deep Learning, Computer Vision, Tensorflow, Image Processing, Python, YOLO, AI Development and Object Detection), as this is my field of professional specialization having completed all certifications and developed adequate experience in the respective field, I hereby humbly request you to consider my bid for professional, quality and affordable services that meet all your requirements. I always guarantee timely delivery and unlimited revisions where necessary hence you are assured of utmost satisfaction when working with me. Please send me a message so that we can discuss more and seal the project. WELCOME.

@artemb35

Hi there, I understand that your main goal is to implement YOLOv11 for efficient and accurate object detection. In my previous role, I successfully developed and deployed a YOLOv5-based object detection model for an e-commerce platform, resulting in a 30% increase in product visibility and a 25% boost in customer engagement. Additionally, I optimized the model's performance by fine-tuning hyperparameters, achieving a 15% reduction in processing time. To meet your requirements, I will implement YOLOv11, ensuring high accuracy and real-time processing capabilities tailored to your specific use case. I will also provide comprehensive documentation and training to facilitate seamless integration into your existing systems. I would be happy to discuss your needs and get started right away. Best regards, Artem

@amadorjay

Hi, how are you? I think the main tasks are training the YOLOv11 model on a labeled dataset from Roboflow and setting it up to acquire input from your laptop's webcam or an NVIDIA device. I have hands-on experience in training machine learning models, particularly in computer vision, and I'm familiar with using Google Colab for such tasks. I will put my solutions in the following approach: - Set up the training environment in Google Colab and import the labeled dataset from Roboflow to train the YOLOv11 model. - Fine-tune the model and ensure it achieves good accuracy on the dataset. - Create a script that allows the trained model to capture and process video input from your webcam or NVIDIA device. I can start immediately and complete the work within a short timeline. Looking forward to your reply!

@sujukia

Hi there ?? i have hands-on experience with yolo-based object detection pipelines, including dataset integration from roboflow, colab training workflows, model export, and deployment-ready inference scripts. i can help you configure the training environment, verify dataset annotations, fine-tune training parameters, and ensure the final weights are properly saved in a structured folder. after training, i will provide a clear python script to load the model and perform live detection using a webcam, with guidance for both standard laptop cameras and nvidia devices. i also focus on making the setup easy to reuse, with clear instructions so you can retrain or deploy again without confusion. Are you looking for someone who can not only train the model successfully but also make sure you can reliably run real-time detection on your own hardware after delivery? thank you for your time, and i would be happy to support your project smoothly ???

@Dmitrydev1

Hi there, I’ve read your YOLOv11 project carefully: training on a Universe Roboflow labelled dataset in Colab, then exporting a folder with the trained model and a script to run real-time detection from a webcam on a laptop or NVIDIA device. I bring hands-on experience with YOLO variants, Python, OpenCV, and end-to-end ML pipelines, and I’ll deliver a compact, reproducible setup. Plan: - Export and prepare your Roboflow dataset (COCO/YOLO format) in Colab and train a lightweight YOLOv11 baseline with a GPU runtime. - Save the trained weights, config, and a minimal inference script to a dedicated folder. - Provide a real-time webcam detector script that loads the model from disk and runs on laptop across CUDA-enabled devices, plus a simple CLI to select model path and device. - Include a README with exact run steps and minimal dependencies. Timeline: baseline complete in 4 days within your 10-15 USD budget; further tuning on request. Best regards,

@yaseena26

As an AI Engineer and Data Analyst with a background in developing and deploying Machine Learning models using Python, I am well-suited to handle your YOLOv11 object detection project. My deep understanding and extensive experience in AI/ML and full-stack development make me the ideal candidate to bridge the gap between complex data science and robust web implementation - a perfect match for your needs. In my journey as an AI Engineer, I have trained numerous models and successfully deployed them on various platforms. Hence, I am comfortable training YOLOv11 on labeled datasets using Colab. Moreover, my strong background in web development brings an additional advantage to this project. I can elegantly script the acquired model to efficiently detect objects from your webcam onto your laptop or NVIDIA device and place the output into any specified folders of your choice. I take pride in delivering reliable, scalable, and high-quality solutions to my clients, just as I will with your project. Choosing me means you are gaining not only a skilled professional but also a proactive problem-solver who works assiduously to meet and exceed client expectations. Let's work together to bring the immense power of YOLOv11 and AI capabilities into transforming your data into actionable insights.

@Mairajk

Hello, I’ve reviewed your "YOLOV11 for object detection" project. For this task, I will focus on training YOLOv11 on the labeled dataset in Universe Roboflow. The trained model will be saved in a designated folder and a script will be developed to enable the acquisition of data from a webcam on your laptop or NVIDIA device. In handling this project, I will ensure a smooth editing process, maintaining a seamless flow of information, and creating a compelling storytelling aspect to the work. The end result will be a polished output that meets your requirements for object detection. I believe clear communication and a collaborative workflow are key to successful project completion. I look forward to the opportunity to work together on this project. Regards, Mairaj Ahmed Khan Computer Vision Specialist

@MadTitan33

Hi, I can set up end-to-end YOLOv11 training on Roboflow + Colab and deliver a clean, ready-to-run webcam inference pipeline for your laptop or NVIDIA device. I’ve previously trained and deployed Ultralytics models (YOLOv8/YOLOv11) with custom datasets, export, and real-time camera streaming. I’ll handle dataset integration, training, model export, and provide a simple folder structure with scripts for webcam/NVIDIA GPU execution. I can complete the full setup and testing within 1–2 days and ensure everything runs smoothly.

@mathews53

Hi, I’m interested in helping you train YOLOv11 on your labeled Roboflow dataset and deliver a complete end-to-end setup. I have strong experience with YOLO training pipelines, dataset export/validation from Roboflow, and running training efficiently on Google Colab. I will provide a clean Colab notebook that downloads the dataset, installs dependencies, trains YOLOv11 with the right config, and exports the best weights into a structured folder. After training, I’ll deliver an inference script that runs on a laptop webcam and can also be adapted for an NVIDIA device (CUDA/Jetson-ready setup). I’ll include instructions for converting/exporting the model if needed (ONNX/TensorRT) depending on your target device. I’ll also document how to run training, where the model files are saved, and how to launch webcam inference step-by-step. If you share your Roboflow export format (YOLO) and target device details (laptop GPU or Jetson model), I can tailor the setup for best speed and accuracy. Best regards, Mathew Stjohn

@abdullahw98

Hi i would love to do this project. Deliverables include: Colab Training Notebook: Roboflow integration, YOLOv11 training, model export Deployment Package: Trained model weights, webcam inference scripts (CPU & GPU optimized), organized folder structure Documentation: Setup and usage instructions Regards Abdullah.

@sastrya

Hello - i delivered a image detection and redaction using yolo and found it accurate and fast. Labelled data, do you mean annotations? Curious to know more. Regards Sastry Anjaneya