You will get Image Segmentation & Semantic Segmentation AI Model (OpenCV)
Project details
As a computer vision and machine learning engineer, my expertise lies in image semantic segmentation using cutting-edge techniques such as vision transformers like ViTs Segformer and Swin Transformer, as well as CNNs like DeepLabV3+, U-Net, YOLO, YOLOv8. Applications across industries, including medical imaging, autonomous vehicles, aerial imagery, satellite imagery analysis.
SPECIALIZED WORK
Flood detection and disaster management using semantic segmentation techniques (ViTs).
Computer Vision OpenCV, Image Classification, Semantic Segmentation
Object Detection YOLO, Object Tracking, Object Recognition, Emotion Recognition, Facial Recognition
Deep Learning (DeepLabV3+ Unet CNN YOLO GANs)
Vision Transformers for semantic segmentation (ViTs Segformer, Swin Transformer)
Semantic Segmentation of Remote Sensing Imagery, Biomedical imagery
TensorFlow PyTorch Karas OpenCV, Hugging Face, Mmsegmentation PyCharm
#ComputerVisionEngineer #MachineLearningEngineer #ImageProcessing #OpenCV #ObjectDetection #YOLO #SemanticSegmentation #DeepLabV3+ #UNet #SwinTransformer #Segformer #MachineLearning #PythonScript #ObjectDetectionTracking #ObjectDetection #TensorFlow #PyTorch #CV #ML
SPECIALIZED WORK
Flood detection and disaster management using semantic segmentation techniques (ViTs).
Computer Vision OpenCV, Image Classification, Semantic Segmentation
Object Detection YOLO, Object Tracking, Object Recognition, Emotion Recognition, Facial Recognition
Deep Learning (DeepLabV3+ Unet CNN YOLO GANs)
Vision Transformers for semantic segmentation (ViTs Segformer, Swin Transformer)
Semantic Segmentation of Remote Sensing Imagery, Biomedical imagery
TensorFlow PyTorch Karas OpenCV, Hugging Face, Mmsegmentation PyCharm
#ComputerVisionEngineer #MachineLearningEngineer #ImageProcessing #OpenCV #ObjectDetection #YOLO #SemanticSegmentation #DeepLabV3+ #UNet #SwinTransformer #Segformer #MachineLearning #PythonScript #ObjectDetectionTracking #ObjectDetection #TensorFlow #PyTorch #CV #ML
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, GPT-3, Keras, Microsoft Excel, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, Scrapy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$150
|
Standard
$375
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 8 days |
Number of Revisions | 6 | Unlimited | Unlimited |
Number of Model Variations | 2 | 5 | 6 |
Number of Graphs/Charts | 2 | 5 | 9 |
Model Validation/Testing | - | - | |
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
4 reviews
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SA
Safiya A.
Sep 1, 2025
Multi-Dot detection using Image Processing OpenCV
Great work! Very professional, reliable, and skilled. Delivered exactly as requested. Highly recommended.
SA
Safiya A.
Jul 30, 2025
LFA Strip Color Intensity Detection Algorithm Developer
Waqas is a truly talented engineer. He not only listened carefully to my requests throughout the project, but also offered valuable suggestions and creative ideas that helped me achieve my goals more efficiently. Working with him was a learning experience. His guidance and support kept me motivated and confident.
His expertise in Python, image processing , Deep learning and AI is outstanding. He approached every technical challenge with skill and clarity, and his problem-solving mindset really stood out. Waqas was always available, communicated exceptionally well, and regularly scheduled Zoom meetings to discuss milestones and address any confusion. I always felt heard and understood. He's a great listener who respects your time and genuinely cares about the success of your project.
His pricing is very fair, especially considering the level of professionalism and skill he brings. I’m genuinely grateful to have found such an amazing talent to help with my project, and I wouldn't hesitate to hire him again for future work or recommend him to others.
5 stars from me, highly recommended!
His expertise in Python, image processing , Deep learning and AI is outstanding. He approached every technical challenge with skill and clarity, and his problem-solving mindset really stood out. Waqas was always available, communicated exceptionally well, and regularly scheduled Zoom meetings to discuss milestones and address any confusion. I always felt heard and understood. He's a great listener who respects your time and genuinely cares about the success of your project.
His pricing is very fair, especially considering the level of professionalism and skill he brings. I’m genuinely grateful to have found such an amazing talent to help with my project, and I wouldn't hesitate to hire him again for future work or recommend him to others.
5 stars from me, highly recommended!
AA
Ahmed A.
May 11, 2025
Plant Leaf Annotation for Semantic Segmentation
Great job on annotating plant leaf images for object detection job with precision and accuracy. Very professional and reliable with smooth communication. Highly recommended and will definitely work with again.
SM
Sangat M.
Dec 14, 2024
Drowsiness Detection for Drivers (CNNs orYOLOv8)
He is genius
Review:
I had an excellent experience collaborating with Waqas on a complex AI project involving YOLO and real-time analysis. He is expert in advanced computer vision and image processing (OpenCV) specially in detection, recognition and tracking. He delivered an efficient, reliable solution with impressive performance, consistently provided updates with regular meetings, and showcased professionalism and technical expertise. Highly recommended.
Review:
I had an excellent experience collaborating with Waqas on a complex AI project involving YOLO and real-time analysis. He is expert in advanced computer vision and image processing (OpenCV) specially in detection, recognition and tracking. He delivered an efficient, reliable solution with impressive performance, consistently provided updates with regular meetings, and showcased professionalism and technical expertise. Highly recommended.
About Waqas
Computer Vision & AI |Object Detection, Segmentation & Data Annotation
100%
Job Success
Yazman, Pakistan - 5:26 pm local time
I'm a Computer Vision Engineer with expertise in developing AI-powered vision systems for real-world applications. I help startups, research teams, and businesses build accurate, scalable, and production-ready computer vision solutions using modern deep learning techniques.
My experience spans Object Detection, Multi-Object Tracking, Semantic Segmentation & Instance Segmentation, Image Processing, OCR, AI Data Annotation, and Vision Transformers, with a strong focus on delivering solutions that solve business problems rather than just training models.
Whether you need a custom AI model, a complete computer vision pipeline, or high-quality annotated datasets, I can help from data preparation through deployment.
What I Can Help You Build:
Computer Vision
✔ Custom Object Detection (YOLOv8, YOLOv9, YOLOv10, YOLO26)
✔ Multi-Object Tracking (ByteTrack, DeepSORT)
✔ Semantic Segmentation & Instance Segmentation
✔ Object Counting
✔ Face Detection & Face Recognition
✔ OCR & Automatic Number Plate Recognition (ANPR)
✔ Medical Image Analysis, Medical Imagery
✔ Industrial Defect Detection
✔ Video Analytics
✔ Image Enhancement & Image Processing using OpenCV
AI & Deep Learning
✔ Custom Deep Learning Model Development
✔ Transfer Learning & Fine-Tuning
✔ Vision Transformers (ViT, SegFormer, Swin Transformer)
✔ CNN Architectures (YOLO, U-Net, DeepLabV3+, MobileNet)
✔ PyTorch & TensorFlow Development
✔ Model Training, Evaluation & Optimization
✔ Edge AI Deployment
Image Processing
✔ OpenCV Applications
✔ ROI Detection
✔ Feature Extraction
✔ Object Measurement
✔ Video Processing
✔ Medical Image Processing
✔ Automated Inspection Systems
AI Data Annotation & Dataset Preparation
I also specialize in preparing high-quality datasets for Computer Vision and Generative AI projects.
Services include:
✔ Bounding Box Annotation, Polygon Annotation
✔ Semantic Segmentation Masks, Instance Segmentation
✔ Keypoint & Pose Annotation
✔ Video Annotation, Object Tracking
✔ OCR Annotation
✔ Quality Assurance (QA)
✔ Dataset Cleaning
✔ COCO, YOLO, Pascal VOC and Custom Formats
✔ Annotation Tools: CVAT, Roboflow, Label Studio, Supervisely, LabelImg, Technologies
Languages & Frameworks:
✔ Python, PyTorch, TensorFlow, OpenCV, Hugging Face
Deployment:
✔ FastAPIDocker, REST APIs, AWS
Recent Project Experience:
✔ Vehicle Detection, Tracking & Counting using YOLOv8 + ByteTrack
✔ Automatic Number Plate Recognition (ANPR) for CCTV & Smart Parking Systems
✔ Real-Time Face Recognition & Attendance System with Anti-Spoofing
✔ Medical Lateral Flow Assay (LFA) Analysis using OpenCV
✔ RNFL ROI Extraction for Ophthalmology Imaging
✔ Flooded Area Segmentation from Aerial Images using Vision Transformers
✔ Road Damage & Pothole Detection Dataset Annotation
✔ Inventory Detection & Tracking for Smart Vending Machines
✔ Fashion Object Detection
✔ Small Object Detection for Insect Recognition
Why Clients Work With Me:
Strong Computer Vision & AI expertise
Production-ready Python code
Clean, well-documented solutions
High-quality AI data annotation
Excellent communication
Reliable delivery and long-term support
If you're looking for a Computer Vision Engineer who can transform your idea into a robust AI solution, I'd be happy to discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Waqas can start the project.
Delivery time starts when Waqas receives requirements from you.
Waqas works on your project following the steps below.
Revisions may occur after the delivery date.
Please clear all information before starting the order
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