I will do image segmentation, semantic segmentation yolo opencv ai

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