I will do image segmentation, semantic segmentation yolo opencv ai

Alcune informazioni sono riportate in lingua inglese.

Pakistan

Parlo Urdu, Inglese

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Hi

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 powerful CNNs like DeepLabV3+ and U-Net. These advanced methods empower a wide range of applications across industries, including medical imaging, autonomous vehicles, aerial imagery, satellite imagery analysis, and beyond.


Main Focus:

  • Flood detection and disaster managment using semantic segmentation techniques (ViTs).
  • Computer Vision
  • OpenCV, Image Classification, Semantic Segmentation
  • Object Detection
  • YOLO, Object Tracking, Object 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 #SwinTransformer #Segformer #DataScience #MachineLearning #PythonScript #ArtificialIntelligence #YOLO #SemanticSegmentation #DeepLabV3+ #UNet #VisionTransformer

API:

Visione artificiale Microsoft AI

•

Google Cloud Vision API

Expertise:

Elaborazione immagini

•

Classificazione

Linguaggio di programmazione:

Python

•

MATLAB

•

SQL

•

Colab

•

Java

Strumenti:

Quaderno jupyter

•

opencv

•

tensorflow

•

CVAT

•

Colab

•

PyTorch

Framework:

Scikit-learn

•

keras

•

PyTorch

•

Panda

Il mio portfolio