Jagadhesan S.

🚀 Computer Vision & AI Data Annotation Specialist Helping AI teams build accurate, production-ready training datasets for Computer Vision, Machine Learning, and AI projects. ⭐ Highlights ✔ 5+ Years of Professional Experience ✔ 500,000+ Images & Video Frames Annotated ✔ QA Review & Dataset Validation ✔ False Positive & False Negative Evaluation ✔ Production-Ready AI Training Data 🎯 Core Expertise ✔ Image Annotation ✔ Video Annotation ✔ Bounding Box Annotation ✔ Polygon Annotation ✔ Instance Segmentation ✔ Semantic Segmentation ✔ Object Detection & Tracking ✔ QA Review & Quality Control ✔ Dataset Validation ✔ Model Prediction Validation ✔ Annotation Reporting 🏗️ Industry Experience 🔹 Building Defect Inspection (Cracks, Spalling, Rust & Structural Defects) 🔹 Medical Image Annotation 🔹 Utility Pole Annotation 🔹 Industrial AI Datasets 🔹 Infrastructure Inspection 🔹 Computer Vision Quality Assurance (QA) 🛠️ Tools & Technologies ✅ CVAT ✅ Roboflow ✅ Label Studio ✅ LabelMe ✅ Labelbox ✅ Supervisely ✅ Amazon SageMaker Ground Truth ✅ Python (Dataset Processing, File Automation & Reporting) ⚙️ Additional Experience ✔ Dataset QA & Reporting ✔ AI Model Output Validation ✔ Python Scripting for Dataset Processing ✔ File Split & Dataset Modification ✔ CSV / JSON Processing ✔ Production Dataset Quality Checks 💡 Why Clients Work With Me ⭐ High-quality, production-ready annotations ⭐ Strong attention to detail and consistency ⭐ Reliable communication and on-time delivery ⭐ Scalable workflows for Computer Vision & AI projects 📩 If you're looking for a reliable Computer Vision & AI Data Annotation Specialist who can deliver accurate annotations, QA review, and production-ready AI datasets, I'd be happy to discuss your project.