You will get Expert YOLO Model Training & Conversion for Mobile, Desktop & Web Apps

Muhammad F.Status: Offline
Muhammad F. Muhammad F.
5.0
Top Rated

Let a pro handle the details

Buy Other AI & Machine Learning services from Muhammad, priced and ready to go.
Muhammad F.Status: Offline
Muhammad F. Muhammad F.
5.0
Top Rated

Let a pro handle the details

Buy Other AI & Machine Learning services from Muhammad, priced and ready to go.

Project details

I specialize in delivering expert YOLO solutions for precise object detection and recognition. My services encompass classification model training and conversion, as well as instance and semantic segmentation. Additionally, I excel in converting machine learning and deep learning model files for use on various operating systems, including Windows, Mac, Linux, Raspberry Pi, Jetson Nano, iOS, and Android.

Whether you require custom model training or seamless integration, I provide accurate and efficient solutions tailored to your specific needs. Elevate your computer vision capabilities with my advanced YOLO projects.

Model Training & Conversion:
☑️ Yolov3, Yolov4, Yolov5, Yolov7, Yolov8, Yolo-Nas EfficientDet, SSD (.pt, .pth, .h5 files)
☑️ CoreML Model (.mlmodel) for Object Detection, Classification, Action Recognition
☑️ TensorFlow Model & TensorFlow Lite (.h5, .tflite files)
☑️ YOLO to COREML
☑️ YOLO to TFLITE
☑️ YOLO to ONNX
☑️ and all possible conversions

Feel Free to contact me for custom model training and conversion services. I love to chat
AI Development Type
Deep Learning, Model Tuning
AI Tools
Amazon SageMaker, Azure Machine Learning, Google AutoML, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$99
Standard
$1,280
Advanced
$1,950
Delivery Time 2 days 7 days 14 days
AI Model Integration
Detailed Code Comments
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Knowledge Graph
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Model Documentation
Ontology
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Source Code
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Taxonomy
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5.0
22 reviews
100% Complete
1% Complete
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EQ

Emil Q.
5.00
Jun 3, 2026
Golf Swing Tracer & Club Detection Technical Cons Muhammad did excellent work on a technically demanding project and was a genuinely easy collaborator.

He was fast, detail-oriented, and clearly experienced. He took the time to properly understand our references and existing logic. Communication was crisp: he asked clarifying questions instead of guessing, kept calls short and focused, and delivered a clear, structured plan without fluff or generic AI-style language.

Overall, I’m very happy with the outcome and would really recommend working with Muhammad.

KB

Kevin B.
5.00
May 28, 2026
Media Pipe. POC . CV Lacrosse

CM

Colton M.
5.00
May 18, 2026
Automated Drill Video Processing MVP - Phase 1

KS

Kristof S.
5.00
May 18, 2026
30 minute consultation Good consultation

CM

Colton M.
5.00
Jan 30, 2026
30 minute consultation
Muhammad F.Status: Offline

About Muhammad

Muhammad F.Status: Offline
Computer Vision & AI Agent | Python - MediaPipe - YOLO Real-Time
100% Job Success
5.0  (22 reviews)
Karachi, Pakistan - 9:04 am local time
Most Machine Vision projects fail between the prototype and production.
I've shipped 54+ that didn't.

⚙️YOLO Detection | Pose Estimation | Object Tracking | AI Agents | LLM Integration
Sports & Fitness AI | CCTV & Surveillance AI | Retail AI | Healthcare AI

You have a working concept... or a clear problem involving cameras, video, or image data. The challenge is making it fast, accurate, and stable under real-world conditions. Wrong framework choices. Inference too slow for live video. Models that break the moment lighting, angle, or environment changes. And systems that detect things but can't reason about them or act on them autonomously. That's exactly where most builds stall.

I design and build real-time computer vision pipelines that go all the way... from model training to live deployment... and increasingly, from visual perception to autonomous AI agents that understand, decide, and narrate.

LLM APIs (OpenAI, GPT-4o, Gemini, Claude) | AWS (EC2, S3, Lambda) | Azure Cloud Services | MLOps & API Integration | Model Deployment & Scaling

While most CV engineers stop at training the model, I go further:
→ High-speed inference optimization using TensorRT, ONNX, OpenVINO, FP16/INT8 (up to 5× faster)
→ LLM agents integrated with vision pipelines for alerts, reasoning, and automation
→ Mobile AI deployment using Core ML (iOS) and TFLite (Android) with 10+ shipped apps
→ Edge AI deployment on Jetson, OpenVINO, CUDA, and embedded systems
→ End-to-end pipelines: data → training → optimization → real-time deployment

Key Accomplishments:
⭐ $5M+ revenue from AI solutions
⭐ 100+ computer vision systems delivered
⭐ Built and launched 2 SaaS products
⭐ Real-time sports AI (7+ sports, 15+ teams)
⭐ 10+ mobile AI apps (iOS Core ML, Android TFLite)
⭐ Production AI for surveillance, industrial & safety use cases
⭐ Medical imaging AI deployed in 5+ hospitals
⭐ Up to 5× faster inference (ONNX, TensorRT, FP16/INT8)
⭐ Large-scale tracking & re-ID (1M+ labeled data)
⭐ Agentic AI systems for autonomous decision-making

If you have read this far, please note that I appreciate you taking the time to learn about me. Personally, it’s been an amazing journey and knowledge exercise to get to this level of competence in AI and software development.

Domain Expertise:
✅ athlete tracking | shot detection | scoring | drill analysis | pose estimation
✅ defect inspection | PPE compliance | staff monitoring | meter reading | quality control
✅ ANPR | crowd monitoring | people counting | intrusion detection | perimeter security
✅ tumor detection | ultrasound | X-ray/CT analysis | lesion segmentation | medical imaging
✅ aerial monitoring | traffic flow | license plate recognition | vehicle & accident detection
✅ customer analytics | receipt extraction | shelf monitoring | inventory tracking

Tech Stack:
YOLOv5–YOLOv8–YOLOv11, Detectron2, MMDetection, DeepSORT, StrongSORT, MediaPipe, OpenPose, Pose Estimation, Action Recognition, Segmentation (semantic & instance), OCR, anomaly detection, object tracking, PyTorch, TensorFlow, TFLite, Core ML, OpenCV, FastAPI, Flask, ONNX, TensorRT, OpenVINO, CUDA, AWS, Azure, GCP, edge AI, mobile AI, real-time inference, video analytics, AI automation, LLM integration (GPT-4o, Claude, Gemini, Groq), LangChain, LangGraph, CrewAI, RAG systems.

💬 If your project involves cameras, video, or images... and you need it fast, accurate, fully deployed, and intelligent enough to reason and act autonomously... I am the engineer you are looking for.

Steps for completing your project

After purchasing the project, send requirements so Muhammad can start the project.

Delivery time starts when Muhammad receives requirements from you.

Muhammad works on your project following the steps below.

Revisions may occur after the delivery date.

Model file conversion

Review the work, release payment, and leave feedback to Muhammad.