This project is an image classifier ... used for training, testing, and validation. Preprocessing involves resizing the images to the required input size of the ResNet50 model (224x224 pixels) and ...

The classifier is trained on a dataset of labeled images and can identify the type of fruit or vegetable in an input image with a confidence score. Data Preprocessing:-The dataset is organized into ...

However, whereas the data distribution is same between the training and testing data, the results might be different. This study introduces input image preprocessing ... are ensembled to the ...