Vignesh R.

AI Data Annotation & Computer Vision | 2D/3D LiDAR | Video | GIS | QA I help AI, Computer Vision, Autonomous Driving, Mapping, and Machine Learning teams build high-quality, production-ready training datasets. With experience across 2D and 3D data annotation, LiDAR, Radar, video, GIS, medical imaging, NLP, and quality assurance, I can support both individual projects and large-scale annotation requirements. 🔹 What I can deliver 2D Computer Vision Bounding Box Annotation Polygon & Instance Segmentation Semantic Segmentation Keypoint Annotation Object Detection & Classification Lane Line Annotation Image Classification Attribute Annotation 3D / Autonomous Driving 3D LiDAR Point Cloud Annotation 3D Bounding Boxes Point Cloud Segmentation LiDAR Object Detection Radar Data Annotation ADAS Dataset Annotation Vehicle, Pedestrian & Cyclist Annotation Lane & Road Environment Annotation Video Annotation Object Tracking Multi-object Tracking Frame-by-frame Annotation Action/Event Annotation Object Detection & Classification GIS & Mapping POI Annotation Road & Building Mapping Geographic Data Processing Infrastructure Mapping Corridor Mapping Powerline & Vegetation Mapping 🛠 Tools & Platforms CVAT | Label Studio | SuperAnnotate | Roboflow | DataPlus | COCO JSON | Custom Annotation Platforms ✅ Quality & Delivery I understand that annotation is not simply about producing volume—it is about producing accurate, consistent, and ML-ready data. Our workflow includes: Data Review → Annotation → QA → QC → Error Analysis → Feedback → Rework → Final Delivery For larger requirements, I can coordinate dedicated annotation and QA resources through our delivery team at Bigwigs Technologies Private Limited. 🚀 Why work with me? ✔ Strong understanding of AI training data requirements ✔ Experience with 2D & 3D annotation workflows ✔ Dedicated QA/QC approach ✔ Ability to scale resources based on project requirements ✔ Flexible support for short-term and long-term projects ✔ Professional communication and regular progress reporting ✔ Focus on quality, accuracy and delivery timelines If you have an AI annotation, Computer Vision, LiDAR, Radar, GIS, or video annotation project, send me the requirements, sample data, expected volume, and timeline. I can review the scope and suggest an appropriate workflow, team structure, quality process, and delivery plan. Let's build high-quality training data for your AI.