Computer Vision Course in Hyderabad

Teach machines to see: image classification, detection, segmentation and video

The Computer Vision course teaches you to build systems that understand images and video. You start with Python, OpenCV and image fundamentals such as pixels, colour spaces, filtering, edges and geometric transforms, then move to classical methods including feature detection and matching. You study convolutional neural networks and transfer learning for classification, object detection with YOLO and other detectors, image segmentation with U-Net and Mask R-CNN, face detection and recognition, optical character recognition, pose estimation and tracking in video. Newer modules introduce vision transformers, vision-language models and foundation models for segmentation at an overview level. You also cover dataset creation and annotation, evaluation metrics such as IoU and mAP, model optimisation and deployment to a web API or edge device, and responsible use, including privacy and bias in face technology. The course suits graduates and professionals with basic Python; deep learning basics are revised. Labs use PyTorch and free GPU notebooks. Classes run in Ameerpet, Hyderabad, and in live online batches.