hello connection Now, I am working in the Computer Vision domain. I have worked and experience with different computer vision techniques which include - Object Detection - Object Tracking - Deepstream-SDK (Embedded Vision) - Object Segmentation - Pose Estimation - Basic Digital Image Processing (OpenCV) - Image Classification - Dashboard Development - Jetson Deployment (Embedded Vision) - Nvidia Transfer Learning Toolkit (Custom Training of Compatible Computer Vision Models for Jetson) ⭐ YOLOv8, YOLOv7 Object Tracking on Multi Streams (Multiple streams separate object tracking) ⭐ Small-Objects Detection Using YOLOv5 (Large project ended with written master thesis) ⭐ Virtual Assistant for Computer Vision Courses (Long term and Ongoing Projects) ✔️ People Detection Using YOLOv8, YOLOv7 (Including People Classification as secondary Detector) ⭐ Video Preprocessing with python (OpenCV and Computer Vision) ✔️ Computer Vision Classification of Image Data (Image Classification) ⭐Teaching Using Nvidia-tlt (Transfer Learning Toolkit) ⭐ Fix GPU issue in training and openCV with C++ (YOLOv5 in C++) ✔️ Object Detection and Segmentation help is Required ✔️ Smart Health Care System Using Machine learning and TensorFlow ✔️ Develop a Custom Image Classification Model in TensorFlow ⭐ Spam Detection Using Machine Learning Algorithms I am open to collaboration in the field of Computer Vision and Deep learning,