Data labeling specialist to create a training dataset

@amirrmusavifr

Hi, I’m an AI expert with professional experience in computer vision, with a proven track record of working on complex image processing and AI/ML model development. With skill sets: • Algorithm Development: Strong understanding of computer vision algorithms and techniques, including convolutional neural networks (CNNs), object detection, image segmentation and feature extraction. • Model Training & fine-tuning: Develop and train machine learning models tailored for image analysis and visual data interpretation. I have worked on some well-known models like YOLO, RCNN, U-Net, Deeplab, ViT etc. • AI Integration: Implement and integrate AI models into existing software and hardware systems, ensuring high performance and scalability. • Data Analysis: Analyze and process large datasets of images and video feeds to identify patterns, trends, and insights. • Data Handling: Experience in handling and processing large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. • Performance Optimization: Optimize algorithms and models for real-time processing and ensure they can handle large-scale data efficiently. • Programming Skills: Proficient in programming languages such as Python. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. • Tools & Libraries: Proficiency with OpenCV, scikit-image, and other relevant libraries. Experience with version control systems like Git.

@GraphicsHub2k24

Dedicated Freelancer Ready to Elevate Your Project for Data labeling specialist to create a training dataset. I have a solid background in Image Processing, YOLO, Computer Vision, Matlab and Mathematica, Data Science, Deep Learning, Excel, Object Detection and Data Processing, I bring valuable expertise to your project. I have successfully completed many projects with 100% client satisfaction. Clear and timely communication is my priority. I believe in keeping you informed throughout the project lifecycle. I am available for a discussion at your earliest convenience. Please feel free to contact me to further discuss your project details. Thank you for considering my bid. I am excited about the opportunity to contribute to the success of your project. Please visit my portfolio to check my previous work samples, here - https://www.freelancer.com/u/GraphicsHub2k24?page=portfolio&w=f&ngsw-bypass= Best regards, Muhammad Asim Khan

@abdurohmany

I can complete this project according to your requirements, and I'm ready to start right away. If you’re available to message me now, we can discuss the details further. Looking forward to your response thank you!

@SomeeLee25

Hello, I can build a professional training dataset for detecting electrical components in residential building plans. My approach includes: • Converting PDF/DWG plans into high-resolution images • Creating 8–12 object classes and drawing precise bounding boxes for each symbol • Using CVAT/LabelImg/Roboflow for consistent annotation • Exporting the dataset in YOLOv8 or COCO JSON format, divided into train/val/test sets • Clean folder structure and naming conventions for easy integration • Running an initial YOLOv8 training with 100–200 examples to verify accuracy I estimate completing the project within 3–4 weeks, depending on dataset size. Best regards, Somee

@joseph3448

Hello, I’ve carefully read your job posting, and I can deliver the job based on the description provided. Let's discuss more details via chat. Thank you Joseph

@PieterJnr

Everything in my background lines up with your project’s goals, making me the right person to bring it to completion. I understand the need to maintain optimal resolution and readability, implement clean naming and structure, and ensure a seamless integration with YOLOv8 or COCO JSON format. While I am new to freelancer.com, I have tons of experience and have done other projects off-site. I offer expertise in converting plans to images, precise data labeling, and model training. I would love to chat more about your project! Regards, Pieter Bothma

@cassandrac14

I can create a high-quality training dataset for detecting electrical components in residential building plans. I will convert PDFs or DWGs into high-resolution images, extract individual plans, and maintain optimal readability. Using tools like Roboflow, CVAT, or LabelImg, I will manually or semi-automatically label 8–12 electrical symbol classes with precise bounding boxes. The dataset will be organized into train, validation, and test sets with clean structure and naming conventions, and exported in YOLOv8 and COCO JSON formats. I can also perform an initial detection test, train the YOLOv8 model on 100–200 examples, and verify basic accuracy. With 100–150 drawings and 300–500 images, I will ensure 15,000–25,000 accurate labels ready for model training.

@freetdjy

I’m the best candidate for this project because I combine reliability, attention to detail, and a strong commitment to delivering accurate results on time. I understand the requirements clearly, I communicate professionally, and I always make sure the client receives exactly what they expect

@NovaBridge25

I’m confident I’m a strong match for this project because I understand how crucial clean, consistent, and accurately labeled data is for training YOLOv8 models—especially when dealing with technical drawings. Your requirement to convert PDF/DWG plans into clear images and label 8–12 electrical symbols with precise bounding boxes aligns well with my detail-driven workflow and structured approach. I can help maintain optimal resolution, organize labels into train/val/test sets, and ensure each class is named cleanly for easy model training. My broader experience in web design, development, graphic design, social media management, and digital marketing strengthens my ability to deliver organized, visually clear, and functional datasets. Although I’m new to Freelancer, I bring extensive experience and a proven track record outside the platform. I’d be glad to collaborate and help you build a dependable dataset for accurate electrical-symbol detection. Regards, Dylan-Cole Setera

@sonnyp4

I can create a high-quality, fully structured dataset for detecting electrical components in your residential building plans. I will convert your PDFs or DWGs into high-resolution PNG or JPG images, extract individual plans, and maintain optimal readability. Using Roboflow, CVAT, or LabelImg, I will manually or semi-automatically label 8–12 electrical symbol classes such as outlets, switches, lights, fans, panels, and data ports, creating precise bounding boxes for each. The dataset will be exported in YOLOv8 and COCO JSON formats, organized into train, validation, and test sets with clean directories. I will also perform an initial YOLOv8 detection test using 100–200 examples to verify basic accuracy. The final result will be a professional dataset with 15,000–25,000 labeled objects ready for model training.

@Adinakhan145

Hello hope you’re doing well. I’m very interested in your data-labeling project and confident I can deliver the high level of accuracy and consistency you need. I specialize in data annotation, categorization, tagging, image labeling, text labeling, and AI-training dataset preparation. What I Can Deliver: Image annotation (bounding boxes, polygons, segmentation, landmarks) Text classification, sentiment tagging, named-entity recognition Audio tagging and transcription labeling Data cleaning, structuring, and quality assurance Large-scale dataset preparation for AI/ML models

@nitish034

"I am very interested in your data labeling project and have strong expertise in converting building plans, labeling electrical components, and preparing training datasets for ML models. I am skilled with tools like Roboflow and CVAT, and can deliver accurate, well-organized bounding boxes quickly. By leveraging my experience, I’ll save your time and ensure top-quality data for your YOLOv8 models."