Hire the Best ImageMagick Developers

Hi! I work with image and video data annotation for computer vision projects. I focus on clean, accurate labels and always follow project guidelines carefully. I have experience with bounding boxes, polygons, semantic segmentation, and image masking. I understand how annotation quality affects model performance, so I pay close attention to details and edge cases. Tools I use: CVAT | Roboflow | LabelMe | MakeSense.ai and any other I can quickly adapt to new annotation platforms if needed. If you need a reliable annotator who delivers consistent and well-structured datasets, I’m ready to help. Skills: -Image & Video Annotation -Bounding Boxes -Polygon Annotation -Semantic Segmentation -Image Masking As a competitive and quick learner, I ensure top-notch outputs. Your project deserves the best start, and I’m here to provide it through precise and reliable data annotation.

🔹 Top Rated Machine Learning Engineer | Expert in Detection, Tracking, Classification & OCR I specialize in building high-accuracy computer vision models — from object detection and classification to keypoint detection and OCR. With deep experience in YOLO (v8–v11), TensorFlow, and PyTorch, I’ve delivered results across industries including healthcare, logistics, and agriculture. 🚀 Highlighted Projects: 🔍 License Plate Recognition & Number Swapping — for Korean and Kazakh vehicles 🏥 COVID-19 & Viral Pneumonia Detection — 95%+ accuracy using X-ray images 🍎 Fruit Detection (Apple, Peach, Potato) — precision object detection with YOLO 📄 OCR & Keypoint Detection — paper/card ID localization and tracking 🏎️ Speed Estimation & Vehicle Tracking — model fusion using YOLO + Deep SORT ⚙️ Core Skills & Tools: YOLOv5/v8 | TensorFlow | PyTorch | OpenCV | ONNX Object Detection, Classification, OCR, Keypoint Detection High-speed model training on RTX 4080 Super As a Top Rated freelancer, I deliver clean, efficient, and production-ready models on time and with clear communication. Let’s bring your vision to life. 📩 Message me — I respond quickly and build fast.

Completed 50+ world-class 3D product configurators across various industries. With 20 years of experience in computer graphics and computational geometry, I help businesses turn complex 3D and visual data into interactive, production-ready software — from AI-powered computer vision pipelines to real-time 3D configurators and digital twins. On the 3D configurator and e-commerce side, I create web-based experiences where users can load, customize, and augment products in real-time using WebGL/Three.js and modern JavaScript, then purchase directly through the website — turning static product pages into interactive sales tools. My technical foundation covers both precision CAD work (STEP/IGES) and mesh-based pipelines (STL/OBJ), using geometry kernels like Parasolid, Open Cascade, CGAL, and IGL, graphics libraries like VTK and OpenGL, and languages including C++, C++/CLI, C#, and JavaScript, with UI frameworks like Qt and MFC for desktop tools. On the computer vision and AI side, I build systems that extract measurements, detect defects, and verify manufacturability directly from images, scans, or CAD models — including photogrammetry pipelines that reconstruct accurate 3D models from real-world photos for digital twin and inspection use cases. Whether the challenge is reconstructing real-world geometry through photogrammetry, building a digital twin that mirrors physical assets, training a vision model to inspect or measure parts, or shipping a configurator that helps customers buy with confidence, I bring deep geometry expertise together with modern AI and graphics tooling to deliver solutions that solve real engineering and business problems.

I build high-performance 3D web experiences that turn visitors into customers. WHAT I DO: - Product Configurators (React Three Fiber) - Real-time Physics Simulations (60+ FPS) - Interactive WebGL experiences for e-commerce RECENT PROJECTS: ✓ Liquid Chrome - Real-time physics shader engine ✓ 3D Mug Configurator - POD business tool ✓ Interactive Phoenix - WebGL character animation TECH: Three.js, React, Next.js, TypeScript, GLSL Ready to bring your 3D vision to life? Let's talk!

Top rated GIS Developer | Cloud Architect | Tech Entrepreneur 🌎 Having 4+ years of experience and over 1000+ hours delivered on Upwork with a 100% Job Success score, I build robust, user-friendly GIS applications that turn raw spatial data into clear business insights. These are the industries in which I have created projects as a GIS developer: - SaaS 🌐 - real-estate 🏡 - environment & ecotech🌳 I build end-to-end platforms that merge geospatial intelligence, scalable cloud backends, and modern UIs. From urban analytics & neighborhood profiling to environmental risk mapping and enterprise-grade spatial APIs, my work is where tech meets real-world impact. 🏆 Upwork Top Rated (Top 3% globally) – trusted by international clients for delivering high-quality, cost-optimized solutions. 💡 How I create value for clients and increase ROI by 40%: Smart Cloud Architecture – efficient AWS design, auto-scaling, cost savings. Secure Open-Source Frameworks – GeoServer, PostGIS, Pelias, MapServer, Django, DRF etc. Cost Efficiency – handling backend + GIS + DevOps myself → avoiding unnecessary extra dev hires. 🎯GIS Expertise: Interactive Map Visualization, Mapping app, Routing Problems, Algorithm, Data Scraping, Report generation using geospatial analysis (PDF), Route optimization 🔧 Tech Stack Highlights: 🌐 Backend & Web: Django, DRF, FastAPI, Node.js, Payments system (Stripe) 🗄️ Databases: PostgreSQL + PostGIS, MySQL, MongoDB, AWS Timestream 🗺️ GIS Tools: GeoServer, MapServer, QGIS, GDAL/OGR, TileServer-GL, OSRM, Tileserver-GL, Osmium ☁️ Cloud & DevOps: AWS (EC2, S3, Lambda, RDS, Timestream), Docker, CI/CD, Nginx, Gunicorn 📊 Data & ML: Pandas, NumPy, Scikit-learn, MLflow, AWS MLOps, Spark (basic) 🔒 Security & APIs: Token-based access, role-based permissions, API gateway design 🔍 Datasources: Raster | Vector | Point Clouds, Openstreetmap, Google Maps, GOES/Landsat/Sentinel Hub, SAR data. 💪 With deep expertise in GIS, geospatial mapping, and web development, I deliver solutions faster and at higher quality than most developers out there. 🤝 My goal is to help you scale your business effectively—let’s connect for a chat or call to discuss your challenges and how I can help you achieve your goals!

Custom-trained AI vision systems that detect manufacturing defects, count warehouse stock, protect retail floors from theft, and inspect garments for fabric flaws built for industrial buyers who need a vision model that actually works on their data, not a generic demo. I work with the Brainy Neurals team as the model-builder for industry-applied computer vision. My focus is the layer between "we have cameras" and "we have actionable detection" collecting the dataset, annotating it, training the model, evaluating it against real production conditions, shipping it as a working system. WHAT I BUILD Defect detection and quality inspection surface scratches, weld defects, packaging flaws, print errors, missing components, assembly mis-orientations, fabric defects, garment inspection. Custom-trained YOLO and segmentation models on your production images, evaluated on the edge cases that matter for your defect distribution. Retail analytics and loss prevention footfall counting, dwell-time heatmaps, queue analytics, planogram compliance, shelf-out detection, theft and shoplifting detection, restricted-zone intrusion, customer journey mapping. Runs on existing store cameras. Warehouse and logistics vision pallet counting, dock monitoring, SKU recognition, package counting on conveyors, forklift safety zones, PPE compliance (helmet, vest, gloves, harness), worker fall detection. Reduces shrinkage, audit exposure, safety incidents. Textile and apparel inspection fabric defect detection across woven, knit, and non-woven materials. Holes, stains, weave faults, print misregistration, colour variation, missing stitches, garment QC at finishing. Sports analytics player tracking with persistent IDs, ball detection, action recognition (shots, passes, fouls, rebounds), zone-aware scoring, jersey-digit recognition, highlight clips. Healthcare and patient safety fall detection in wards and assisted living, gait analysis, hand hygiene compliance, bed occupancy, restricted-area monitoring. Pose-based detection without face recognition where regulation requires. THE STACK I USE YOLOv11 and YOLOv12 when throughput matters; RT-DETR and Mask R-CNN when precision matters more than speed; SAM and Grounding DINO when datasets are small and zero-shot bootstrapping helps. Tracking is ByteTrack or DeepSORT depending on occlusion. Pose uses MediaPipe and custom keypoints. Foundation: PyTorch, OpenCV, ultralytics, timm, albumentations. Annotation and dataset work is where most CV projects quietly fail. I work with Roboflow, Label Studio, CVAT, and build custom tooling when off-the-shelf options corrupt formats. Datasets version-controlled. Edge cases sampled deliberately. Class imbalance handled with focal loss, augmentation, or class-aware sampling. Evaluation goes beyond mAP. I report precision, recall, F1, confusion matrices on rare classes, and false-positive rates at the operating threshold you care about. If your cost of a false positive differs from a false negative, the model is tuned for that asymmetry. WHO I BUILD FOR Manufacturing automotive, electronics, food and beverage, pharma packaging (blister packs, labels). Industry 4.0 quality, MES, OEE teams. Warehouses and 3PLs pallet count automation, dock-to-stock, shrinkage reduction, returns inspection. Retail fashion, grocery, big-box, convenience. Loss prevention, store ops, planogram, customer-experience teams. Textile and apparel fabric mills, garment factories, finishing units, brand QA. Sports broadcast, performance analytics, training instrumentation. Construction and AEC progress detection, structural element counting, site safety, drone inspection. Healthcare patient fall prevention, ward safety, hand hygiene, infection-control compliance. HOW I WORK Projects start with a 30-minute call where I look at sample images or video from your environment. I tell you whether a model can do what you want, dataset size needed, realistic accuracy ceiling, and where the model will fail. I would rather decline than over-promise on a dataset that cannot support it. Pricing is fixed-scope per milestone annotation, baseline training, evaluation, retraining, integration handoff. Hourly only for maintenance after shipping. THE BRAINY NEURALS BACKING I work with the Brainy Neurals team 15 AI engineers, NVIDIA Inception Partner, AWS Activate, Microsoft for Startups. When a project needs camera infrastructure, edge deployment, or multi-camera coordination, that capacity sits with the team I bring them in cleanly, you do not manage two vendors. For pure model-building I lead end to end myself. LET'S TALK IF You have images or video from your environment, you know what you want detected, and need a model trained on YOUR data not a generic detector that misses 30% of edge cases. Send a sample with your first message. I reply within 24 hours with a feasibility read, dataset size, timeline.