Dental X-Ray Annotation Expert Needed

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@chraheelbhatti

As a seasoned Machine Learning expert and Senior Researcher with over ten years of hands-on experience in designing and deploying AI Models, including in the field of Computer Vision like dental radiographs, I fully understand your project's requirements and objectives. With a Ph.D. in AI & Machine Learning and Post-Doctoral engagement, I have actively led AI-powered systems that involved deep learning use cases similar to your project. I have not only a strong background in machine learning techniques but also significant experience working with annotation tools like Roboflow and Labelme that will enable me to maximize accuracy while meeting your daily/weekly image quotas. Additionally, my understanding of dentistry from your preferred skills adds value to my technical side. I am intrigued by the opportunity to contribute to a meaningful project like yours where my skill set aligns so well. Given my extensive understanding of AI systems, experience with ML projects spanning different domains, effectiveness with major referencing styles (APA, MLA, etc.), Azure), I can guarantee delivering not only high-quality annotations but also promptness and adherence to project milestones. I look forward to discussing how we can optimize the dental X-ray AI project together.

@InjectAI

I’m interested in this annotation role. I have a strong background in computer vision and have worked extensively with image annotation tasks for AI models, including bounding boxes, segmentation, and structured outputs using tools like Labelme and custom GUIs. While I’m not from a clinical dentistry background, I’m very comfortable working with detailed visual patterns and following strict annotation guidelines. I’ve handled medical and technical imagery before, where precision and consistency are critical, so I understand the importance of accuracy in this kind of work. I’m detail-oriented and can maintain consistent quality across large datasets. I’m also comfortable working with JSON outputs and adapting quickly to new annotation tools or workflows. Availability: I can dedicate around 2–3 hours daily and maintain regular communication for feedback and improvements. I’m happy to complete the trial set of 5 X-rays and align with your annotation standards. Looking forward to your response. Best regards,

@aurvixlabs

Building an AI for pulp stone and canal path detection requires precise, consistent annotation—a common bottleneck is label inconsistency that cripples model training. In my Energy Label Parser project, I developed an AI system for extracting specs from complex labels, directly applying the same rigorous data validation and OpenCV-based analysis needed here. My skills in computer vision, JSON data handling, and ML project lifecycle ensure the annotation quality your model depends on. I'd approach this in two clear milestones: protocol setup/validation, then full batch delivery with consistency checks. To scope the work: what's the total number of X-ray images requiring annotation, and do you have the annotation GUI tool already developed?

@hemangi3518

Hello, I’m interested in this Dental X-ray annotation project. I have a background in Machine Learning and Computer Vision, and I’m comfortable working with image-based tasks and annotation tools. While I don’t come from a dental background, I am detail-oriented and confident in learning the required annotation guidelines quickly through your training. I have experience working with: Image analysis and structured labeling JSON data handling Maintaining consistency and accuracy in data tasks I understand that this project requires precise boundary marking and consistency, and I’m committed to following instructions carefully and meeting daily targets. Availability: I can dedicate 2–3 hours daily as required. I’m also comfortable collaborating via WhatsApp and adapting to your workflow. I’d be happy to complete the trial set of 5 X-rays to demonstrate my accuracy and attention to detail. Looking forward to your response. Best regards, Hemangi Chhaya

@qaiserkhan0318

Hello, I’m interested in this opportunity. I have experience in medical image annotation, including brain tumor and skin lesion labeling, and I hold a Data Annotation certification. I’ve worked with annotation tools and quality-controlled labeling workflows, with strong attention to boundary accuracy and consistency. While my background is in medical annotation rather than dentistry specifically, I’m confident in adapting to your labeling protocol and custom GUI. I’m available 2–3 hours daily and can support the trial set immediately. I’d be glad to contribute to your dental X-ray AI project. Kindly Dm for more details to be discussed. Regards Qaiser Khan

@iAmiteshKr

Expert Dental X-Ray Annotation (VTK/ITK & DICOM) Hi, I am highly interested in your dental X-ray annotation project. With extensive experience in medical image processing and a deep understanding of dental anatomy, I provide the high-precision labels essential for robust machine learning models. Why I am a Great Fit: Technical Expertise: Hands-on experience with VTK and ITK for processing/visualizing medical data. Fluent in DICOM, PNG, and TIFF formats. Clinical Knowledge: Strong grasp of dental numbering (1–32) and pathology identification, including caries, periapical lesions, pulp stones, and alveolar bone levels. Tool Proficiency: Expert in ITK-SNAP, 3D Slicer, and web platforms like Labelbox or V7. I am also comfortable with custom GUI tools. Quality Standards: I follow strict protocols for bounding boxes and polygon segmentation to ensure high IoU scores and anatomical accuracy. My Workflow: Pilot Batch: I will complete a sample set first to ensure alignment with your guidelines. Consistent Delivery: High-volume output with rigorous anatomical correctness. QA: Multi-step self-review to maintain 99%+ accuracy. I am available to start immediately and can commit 40 hours per week. I accept payment in any currency. Please check my profile for examples of my previous medical annotation work. Best regards

@ashinnd84

Hello there, we are a team of Full Stack Developers. Please, send me a message to discuss the work. Thanks Ashish Kumar.

@swastyd

With a keen eye for detail and a passion for accurate data, I am confident in my ability to excel as your Dental X-ray Image Annotator. With my background in dentistry, my familiarity with data annotation systems and tools such as Roboflow and Labelme will help me quickly adapt to your custom GUI tool. I understand how important it is to maintain annotation quality and consistency, which is why I always double-check my work to assure there are no discrepancies. Collaboration is key in any project, and I am well-versed in effective communication. I'm willing to use WhatsApp or any other communication platform that best fits your needs for efficient feedback exchange. My goal is to contribute significantly to this project by helping build an AI model that reliably detects dental pulp stones and root canal complexity from dental radiographs. Thank you for considering my application!

@helgaad12

Como odontóloga profesional, cuento con la formación académica y la experiencia clínica para realizar una interpretación radiográfica, mi objetivo es aportar mi criterio medico para que los datos generados sean técnica y científicamente correctos. Soy detallista, eficiente y estoy familiarizado con la terminología técnica requerida en el sector dental.

@temitopeamos

I am writing to express my strong interest in your dental radiograph annotation project. As a Consultant Radiologist and university lecturer with extensive experience in reporting and analyzing medical imaging, I offer a level of diagnostic precision that ensures your AI model is trained on gold-standard data. While the role involves a point-and-click GUI, the quality of an AI model depends entirely on the accuracy of the underlying annotations. Here is why I am the best fit for this project: Clinical Expertise: I have a deep understanding of dental anatomy and can easily distinguish between pulp stones (calcified masses) and secondary dentin or anatomical overlaps that might confuse a non-expert. Root Canal Complexity: My professional background allows me to accurately identify and annotate complex canal morphologies, including subtle curvatures and calcified paths that are vital for your AI's success. I am eager to apply my specialized imaging skills to help you build a robust and clinically reliable AI tool. I am available to start immediately."

@swainsandip

I am a highly experienced graphics designer with over 12 years of professional work, and I have strong attention to detail, which is essential for accurate dental X-ray annotation. I understand the importance of precision in medical-related tasks. I can carefully analyze X-ray images, follow annotation guidelines strictly, and deliver consistent, high-quality results within deadlines. I am also comfortable working long hours (up to 40 hrs/week) and handling bulk data efficiently. My key strengths: - Excellent visual analysis skills - High accuracy and consistency - Fast turnaround time - Ability to follow detailed instructions I am committed to delivering error-free work and maintaining confidentiality. I am ready to start immediately and can adapt quickly to your workflow and tools. Looking forward to working with you.

@namang0602

I’m a Computer Vision engineer with strong hands-on experience in image annotation and dataset creation for real-world AI systems. I’ve personally collected and labeled over 10,000 images for projects like TrafficEye and queue-length estimation, giving me a deep understanding of precision, consistency, and annotation quality. I have also built an LLM-assisted image annotation tool to streamline labeling workflows, which gives me insight into both annotation efficiency and how data quality impacts model performance. I’m comfortable working with tools like Labelme, Roboflow-style platforms, and custom GUI-based annotation systems. I can strictly follow labeling protocols, maintain consistency in boundaries and shapes, and ensure high-quality outputs—especially important for sensitive domains like medical imaging. I’m detail-oriented, reliable with daily quotas, and responsive in communication. I can quickly adapt to your guidelines and deliver accurate annotations for your dental X-ray AI project.