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In this project, I'll be building an image classification model that can automatically detect which kind of vehicle delivery drivers have, in order to route them to the correct loading bay and orders. Assigning delivery professionals who have a bicycle to nearby orders and giving motorcyclists orders that are farther can help Scones Unlimited op…
Computer vision is a field of computer science that focuses on enabling computers to identify and understand objects and people in images and videos. Like other types of AI, computer vision seeks to perform and automate tasks that replicate human capabilities.
This repository contains a Python script for image classification using the AlexNet architecture on the Oxford-IIIT Pet Dataset. It demonstrates how to load and preprocess the dataset, create a deep neural network model, train the model, and evaluate its performance.
the Dog Breed Classifier based on CNN, which can identify the breed of the dog if the dog is detected in the image and also can detect the human face if it is there in the image.
Early detection of blight is crucial for potato crop health. This project utilizes deep learning to classify potato leaf images into healthy, early blight, or late blight categories . This empowers farmers to take swift action and maximize yield.
This project uses an ensemble of CNN, RNN, and VGG16 models to enhance CIFAR-10 image classification accuracy and robustness. By combining multiple architectures, we significantly outperform single-model approaches, achieving superior classification performance.