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You will get Custom Computer Vision Model Development
Project details
I will build, train, and deliver a custom Computer Vision model tailored to your specific use case, optimized for speed and accuracy.
Whether you need object detection, instance segmentation, image classification, or OCR (Optical Character Recognition), I build robust pipelines ready for deployment.
What I can build for you:
✓ Custom Object Detection: Detect and track objects in real-time (YOLOv8, Faster R-CNN).
✓ Image Segmentation: Precise pixel-level boundaries (Mask R-CNN, SAM).
✓ Classification: Multi-class or multi-label image categorization.
✓ OCR Systems: Extract text from invoices, documents, or video streams.
What you will receive:
• Custom trained model weights (PyTorch/TensorFlow/ONNX format)
• Full Python source code (clean, documented, and reproducible)
• Model evaluation and performance metrics report
• Basic API / Inference script for deployment
Please contact me before ordering to discuss your dataset and goals!
Whether you need object detection, instance segmentation, image classification, or OCR (Optical Character Recognition), I build robust pipelines ready for deployment.
What I can build for you:
✓ Custom Object Detection: Detect and track objects in real-time (YOLOv8, Faster R-CNN).
✓ Image Segmentation: Precise pixel-level boundaries (Mask R-CNN, SAM).
✓ Classification: Multi-class or multi-label image categorization.
✓ OCR Systems: Extract text from invoices, documents, or video streams.
What you will receive:
• Custom trained model weights (PyTorch/TensorFlow/ONNX format)
• Full Python source code (clean, documented, and reproducible)
• Model evaluation and performance metrics report
• Basic API / Inference script for deployment
Please contact me before ordering to discuss your dataset and goals!
Machine Learning Tools
BERT, GPT-3, Keras, MATLAB, MLflow, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$200
|
Standard
$350
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - |
Frequently asked questions
About Hafiz
Computer Vision & Machine Learning Expert | YOLO, OCR & Deep Learning
Gujranwala, Pakistan - 6:35 am local time
or visual monitoring is a cost your business should not be carrying.
I eliminate it, with production-ready Computer Vision and Machine
Learning systems built around your exact workflow, not generic templates.
✅ IBM-Certified AI, Machine Learning, and Computer Vision Engineer
✅ YOLO object detection, OCR data extraction, image segmentation, tracking, and deployment
✅ Clean Python code, progress demos, documentation, and deployment-ready delivery
Need to automate detection, inspection, OCR, or video analysis with AI?
I help businesses build reliable Computer Vision systems for real-time
object detection, document data extraction, image segmentation, defect
detection, visual quality inspection, image classification, video
analytics, and machine learning prediction tasks.
My focus is not only model accuracy. I also build the complete workflow
around it: data preparation, model training, evaluation, optimization,
API integration, deployment, and documentation.
Services I Can Help With:
▸ Object Detection and Tracking
YOLO-based detection and tracking for CCTV, drones, traffic monitoring,
safety compliance, retail analytics, vehicle detection, people counting,
and automation.
▸ OCR and Document AI
Data extraction from invoices, forms, PDFs, IDs, receipts, scanned
documents, tables, and business paperwork.
▸ Image Segmentation
Custom segmentation models for medical imaging, satellite imagery, remote
sensing, industrial inspection, defect detection, and object masks.
▸ Visual Quality Control
Automated inspection systems for factories, production lines, PPE safety,
product defects, anomaly detection, and quality monitoring.
▸ Video Analytics
Object counting, motion detection, behavior analysis, real-time video
processing, camera-based monitoring, and surveillance automation.
▸ Machine Learning
Classification, regression, forecasting, churn prediction, anomaly
detection, and business prediction models.
Tech Stack:
Computer Vision: OpenCV, YOLOv8, YOLOv11, YOLOv26, RT-DETR, Mask R-CNN, U-Net, SAM
OCR: Tesseract, EasyOCR, PaddleOCR
Tracking: DeepSORT, ByteTrack
Machine Learning: Scikit-learn, XGBoost, LightGBM, CatBoost
Deep Learning: PyTorch, TensorFlow, CNNs, Transfer Learning, Fine-Tuning
Deployment: FastAPI, Flask, Streamlit, Docker, REST APIs
Data: Pandas, NumPy, Feature Engineering, Model Evaluation, Data Annotation
Project Highlights:
▸ Fire and Smoke Detection
Trained a YOLO model on 22,000+ images for real-time drone surveillance.
▸ Vehicle Speed Monitoring
Built a YOLO + DeepSORT pipeline for speed estimation and violation detection.
▸ PPE Safety Compliance
Created a computer vision system for helmet and safety vest detection from CCTV feeds.
▸ Brain Tumor Segmentation
Built a medical image segmentation model for detecting and masking tumor
regions from MRI scans.
▸ Factory Quality Control
Built an image classification and inspection system for detecting product
defects on a moving conveyor belt.
▸ Invoice Data Extraction
Developed an OCR pipeline to convert scanned invoices into structured Excel output.
▸ Business Prediction
Built machine learning pipelines for churn prediction, forecasting, and anomaly detection.
How I Work:
▸ Free consultation to understand your exact requirement
▸ Clear project plan with milestones before any code is written
▸ Weekly progress updates with demo videos or screenshots
▸ Clean, documented, deployment-ready code delivery
▸ Post-delivery support for questions and minor fixes
If you need a Computer Vision, OCR, Object Detection, Image Segmentation,
Video Analytics, Image Processing, or Machine Learning system, send me
your dataset, sample images, video, PDF, or project description.
I will reply with a clear technical plan, timeline, and honest estimate.
Steps for completing your project
After purchasing the project, send requirements so Hafiz can start the project.
Delivery time starts when Hafiz receives requirements from you.
Hafiz works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset Review & Augmentation
I will analyze your dataset, check for label consistency, perform preprocessing, and apply data augmentation (flipping, rotation, brightness adjustments) to improve model robustness.
Model Selection & Custom Training
I will select the best architecture (YOLOv8, ResNet, SAM, or Detectron2) based on your latency and accuracy requirements, and start training the custom model.