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I will do computer vision yolo object detection deep learning ocr using pytorch python
Shan Ali
About this gig
Need a custom Computer Vision, YOLO Object Detection, or Deep Learning solution? You're in the right place.
I develop production-ready Computer Vision applications using Python, OpenCV, and YOLOv8 from simple image processing tasks to real-time AI-powered detection systems.
SERVICES I OFFER:
YOLO Object Detection
Detect and track objects in images and video streams in real time using YOLOv8.
Custom AI Model Training
Train custom models on your own dataset with multi-class detection and performance evaluation.
Image Processing & Enhancement
Noise reduction, edge detection, filtering, image enhancement, and augmentation using OpenCV.
OCR & Image Recognition
Extract text from images and documents using TesseractOCR and EasyOCR.
Real-Time Detection Systems
Develop live video detection systems for security, retail, and industrial automation.
Deep Learning Solutions
Build CNN, classification, segmentation, and custom AI models using TensorFlow and PyTorch.
Tools & Technologies:
Python | OpenCV | YOLOv8 | TensorFlow | PyTorch | Keras | scikit-learn | Flask
Why Choose Me?
Clean and optimized code
Regular updates and clear communication
Fast response and on-time delivery
Get to know Shan Ali
Shan Ali
Python Developer, Data Science, Machine Learning
- FromPakistan
- Member sinceMay 2026
- Avg. response time1 hour
- Last delivery2 weeks
Languages
English, Urdu, Punjabi
Data Science and Machine Learning Engineer with 4+ years
of experience building production-ready AI solutions and data pipelines, from
processing and data transformation to ML model development
and deployment using FastAPI and Docker.
I actively compete in Kaggle competitions and work on real-world
Data Science and Machine Learning base AI Applications, applying ML, NLP, and advanced analytics using NVivo
to solve complex business problems.
I help businesses automate data workflows, extract insights, and
build scalable GPT AI-powered applications using Python,
and modern ML frameworks.
My Portfolio
FAQ
What types of Computer Vision projects do you work on?
I work on a wide range of Computer Vision projects including object detection, image processing, OCR, image segmentation, tracking systems, facial recognition, and real-time AI applications using Python, OpenCV, and YOLOv8.
Do you train YOLO on custom datasets?
Yes, send your labeled dataset (YOLO format, COCO JSON, or raw images) and I'll train a custom YOLOv8 model. I handle data preparation, augmentation, training, and evaluation.
Do you provide real-time object detection systems?
Yes, I can develop real-time detection and tracking systems for webcams, CCTV footage, videos, and live streams.
Which technologies and frameworks do you use?
I mainly use Python, OpenCV, YOLOv8, TensorFlow, PyTorch, Keras, scikit-learn, and Flask depending on project requirements.
Can you work on image processing tasks only?
Absolutely. I can help with image enhancement, filtering, edge detection, preprocessing, augmentation, OCR, and other OpenCV-based image processing tasks.
Do you help with deployment and setup?
Yes, I can assist with deployment, environment setup, API integration, and running the solution on your system or server.
What deep learning services do you offer?
I offer deep learning solutions including image classification, object detection, NLP, sentiment analysis, chatbot development, recommendation systems, predictive modeling, and custom neural network development using Python PyTorch and TensorFlow.
How should I contact you before placing an order?
Simply send me a message with your project details, requirements, dataset (if available), and expected output so we can discuss the best solution for your project.
Can you do OCR and text extraction from images?
Yes, I extract text from images, scanned documents, and PDFs using Tesseract, EasyOCR, and PaddleOCR. Supports multiple languages, complex layouts, and handwritten text depending on quality
