Muhammad I.

AI Data Annotation, Image Labeling, ML Datasets with CVAT & Roboflow

Looking for a AI Data Annotation and Image Labeling Specialist who delivers production ready ML datasets using CVAT and Roboflow? I help machine learning teams, AI startups, and computer vision researchers build clean, accurate training datasets that improve model performance. Every project follows a pilot batch first workflow so you can verify quality before scaling to full production. 🔬 𝗔𝗡𝗡𝗢𝗧𝗔𝗧𝗜𝗢𝗡 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 → Data Annotation → Data Labeling → Image Labeling → Video Annotation → Text Annotation → Audio Annotation → LiDAR Annotation → Construction Annotation → Machine Learning Datasets → Training Data Generation → Dataset Management → Project Management → Quality Assurance (QA) → Data Tagging 🛠 𝗧𝗼𝗼𝗹𝘀, 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 & 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 → CVAT (Computer Vision Annotation Tool) → Roboflow → Label Studio → Labelbox → LabelMe → Supervisely → V7 Darwin → Scale AI → Pascal VOC → COCO JSON → YOLO Format 𝗠𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝘄𝗶𝘁𝗵 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 → Bounding Box (2D & 3D) → Polygon Annotation → Polyline Annotation → Semantic Segmentation → Instance Segmentation → Object Detection → Image Classification → Keypoint Estimation → Pose Estimation → Object Tracking → LiDAR / Point Cloud Annotation → Radar Polygon → Image Masking → Facial Recognition → Image Resizing → Dataset QA Audit → Re-annotation 🏭𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦 𝗜 𝗦𝗘𝗥𝗩𝗘 • Autonomous Vehicles & Self-Driving (camera, LiDAR, radar fusion) • Camera LiDAR Radar Fusion • Construction AI • Blueprints & Floorplans • Architectural Drawings • BIM (Building Information Modeling) • Medical Imaging • Radiology (X-ray, MRI, CT Scans) • Pathology Slides • Drone Imagery • Aerial & Satellite Imagery • E-Commerce Product Recognition • Retail AI • Robotics & Warehouse Automation • Surveillance & Defense AI • RLHF (Reinforcement Learning from Human Feedback) • AI Text & Video Labeling ✅MY WORKFLOW 1. Review your annotation guidelines, sample images, and quality standards 2. Deliver a pilot batch (10-50 images) for your approval before full production 3. Scale to production batches after pilot sign-off 4. Send daily progress reports with batch screenshots and metrics 5. Final multi-pass QA review before delivery in your required export format 6. Revisions included until you're 100% satisfied ✅ WHY CLIENTS CHOOSE ME → Dedicated 30 annotation specialists → Built-in QA pipeline: annotator → Reviewer → QA manager on every project → Inter-annotator agreement (IAA) checks before full production starts → Strict adherence to labeling guidelines and annotation taxonomy → Scales from 500 to 500,000+ images without sacrificing precision → Fast response time — under 1 hour ✅ LET'S BUILD YOUR DATASET Let's optimize your machine learning models with high precision training data. Click "Invite to Job" or "Send Message" to discuss your annotation guidelines and start your free pilot batch today. Thank you for visiting my profile. Muhammad Ishfaq