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
AI Engr| Object Detection| Object Recognition| Semantic Segmentation
100%
Job Success
Yazman, Pakistan - 3:05 am local time
I help businesses in various industries create innovative applications using cutting-edge technologies 💡. My goal is to turn ideas into impactful solutions that improve business insights and affect strategic decisions 📈.
Computer Vision 📷
- Custom Object Detection and Real-Time Object Tracking using YOLOv8 YOLOv9 and Bytrack deepsort
- Object Recognition, Object counting, face recognition, pose estimation, facial recognition
- Real-time Face Detection Recognition on custom data
- Real-time car detection and object counting YOLOv9 Bytrack
- Emotion Recognition, analyzing facial expressions
- Inventory object recognition. object counting from vending machine YOLO Bytrack
- Underwater Object Detection focusing on fish varieties
- Image processing, OpenCV computer vision, object tracking, object recognition
- Artificial intelligence, machine learning, deep learning, Vision Transformers (ViTs), Swin Transformer, DeepLab, YOLO SSD.
- Object detection using YOLO, EfficientDet, Faster R-CNN, and object tracking with DeepSort
- Automatic number plate recognition utilizing object detection techniques
- Real-time pose estimation using OpenCV MediaPipe
- Research experience in image semantic segmentation utilizing vision transformers like ViTs, Segformer, and Swin Transformer, as well as CNNs such as YOLO, DeepLabV3+, and U-Net
- Pattern recognition, regression, disease diagnosis, detection, and classification
Machine Learning & Deep Learning 🤖
Deep Learning (ViTs Segformer Swin-Transformer DeepLabV3+ UNet CNN YOLO GANs)
Training/Testing Machine Learning models, and model evaluation
Transfer Learning and Fine-tuning of pre-trained Models on Custom dataset
Tools & Libraries 🛠️
Python (PyTorch, TensorFlow, NumPy, PyCharm, Jupyter, Kaggle, Colab)
Libraries (OpenCV, Hugging Face, Mmsegmentation, NumPy, Keras, Pandas, Scikit Learn, Matplotlib, etc.)
Services: 📊
Computer Vision / Image Processing / OpenCV
Image Segmentation / Semantic Segmentation / Instant Segmentation
Transformers / Vision Transformers / Attention Mechanism
Machine Learning (ML) / Deep Learning (DL)
Biomedical Image Processing
Artificial Neural Network / Artificial Intelligence
Image Annotation & Data Labeling (2D & video frames)
Bounding Boxes (YOLO, Pascal VOC, COCO)
Semantic Segmentation (Pixel-wise masks, polygons)
Instance Segmentation
Object Detection & Object Tracking (MOT, ID assignment)
Data Entry (MS Word, MS Excel, MS PowerPoint, CSV, Google Doc )
PDF ( Conversion, Creating Fillable Form, Converting into Excel, Word, CSV )
#ComputerVision #ImageProcessing #Segmentation #SemanticSegmentation #ImageSegmentation #InstantSegmentation #YOLOv8 #VisionTransformers #ViTs #Segformer #SwinTransformer #SwinT #CNNs #DeepLearning #MachineLearning #ArtificialIntelligence #AI #ML #DL #OpenCV #Python #PyTorch #TensorFlow #Keras #ImageClassification #ObjectRecognition #SceneUnderstanding #ImageAnalysis #FeatureExtraction #PatternRecognition #ImageRestoration #ImageEnhancement #AutonomousVehicles #SurveillanceSystems #MedicalImaging #Robotics #AugmentedReality #VirtualReality #Polygones #Masks #ComputerVision #AIAnnotation #CVAT #LabelStudio #LabelImg #Roboflow #AnnotationServices
Transformers, Vision Transformers, Attention Mechanism, Image classification, Object recognition, Scene understanding, Image analysis, Feature extraction, Pattern Recognition, Image restoration, Image enhancement, Image denoising, Image compression, Image retrieval, Facial recognition, Human-computer interaction, Autonomous vehicles, Surveillance systems, Medical imaging, Robotics, Image processing, Image segmentation, Object detection, Object tracking, Image recognition, Image classification, Scene understanding, Image analysis, Feature extraction, Pattern recognition, Image segmentation, Pixel-level classification, Object recognition, Scene understanding, Image analysis, Feature extraction, Pattern recognition, Object recognition, Object tracking, Image recognition, Image classification, Scene understanding, Image analysis, Feature extraction, Pattern recognition
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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