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In this article we explain Focal Loss which is an improved version of Cross-Entropy Loss, that tries to handle the class imbalance problem.
Face Mask Detector is a prime requirement of this pandemic. Learn to create a Face Mask Detector using RetinaNet in python.
Implement pre-trained models for image classification (VGG-16, Inception, ResNet50, EfficientNet) with data augmentation and model training.
Learn Image Augmentation with Keras ImageDataGenerator. Expand your dataset size with this deep learning image augmentation technique. Optimized for Google.
Non-max suppression is used in various object detection algorithms like yolo, ssd. Understand how non-max suppression with implementation.
Build image classification models in Pytorch and TensorFlow. Learn CNN for image classification on MNIST dataset and analyze the performance of the model.
Flask is a web application framework written in Python. Learn model deployment and build an image classification model in PyTorch, deploy it using Flask.
Working with videos is a challenging deep learning task. Learn how to add an image to a dynamic video using OpenCV and deep learning.
Learn about optical character recognition and tesseract ocr text recognition. In this article learn how to build ocr system using tesseract and OpenCV.
Want to build your own self-driving car? Get started with this tutorial on building your own lane detection system using OpenCV and Python.
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