DeepFruit: A dataset of fruit images for fruit classification and calories calculation.

ABSTRACT: A dataset of fully labeled images of 20 different kinds of fruits is developed for research purposes in the area of detection, recognition, and classification of fruits. Applications can range from fruit recognition to calorie estimation, and other innovative applications. Using this dataset, researchers are given the opportunity to research and develop automatic systems for the detection and recognition of fruit images using deep learning algorithms, computer vision, and machine learning algorithms. The main contribution is a very large dataset of fully labeled images that are publicly accessible and available for all researchers free of charge. The dataset is called "DeepFruit", which consists of 21,122 fruit images for 8 different fruit set combinations. Each image contains a different

SUBMITTER: Latif G 

PROVIDER: S-EPMC10507127 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature