VegNet: Dataset of vegetable quality images for machine learning applications.

ABSTRACT: The agricultural industry has an unmet requirement for quick and accurate classification or recognition of vegetables according to the quality criteria. This open research problem draws attention to the research scholars every time. The classification and object detection challenges have seen highly encouraging outcomes from machine learning and deep learning techniques. The foundational condition for developing precise and reliable machine learning models for the real-time context is a neat and clean dataset. With this goal in mind, we have developed a picture dataset of four popular vegetables in India that are also highly exported worldwide. In order to generate a dataset, we have taken into account four vegetables: Bell Peppers, Tomatoes, Chili Peppers, and New Mexico Chiles. The datas

SUBMITTER: Suryawanshi Y 

PROVIDER: S-EPMC9679474 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature