Building object detection system, image classification and image segmentation models using Pytorch, CNN, YOLOv, and SSD
What you will learn
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Learn the basic fundamentals of object detection and image classification
Learn how to build object detection system using Pytorch and SSD
Learn how to build object detection system using Pytorch and Faster R-CNN
Learn how to build object detection system using YOLOv
Learn how to build object detection system using DETR ResNet
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Learn how object detection system works, starting from input image processing, feature extraction, region proposal, bounding box, and class prediction
Learn how image classification system works starting from data collection, labelling, preprocessing, model selection, training, validation, predicting new image
Learn how to test object detection and image classification systems using variety of inputs like images and videos
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