dataset
The GBI35K part of the Diotec Dataset is a fixed dataset of 35,000 images that can be used for benchmarking machine learning models. The dataset contains images of objects from a variety of categories, such as clothing, accessories, vehicles, and electronics. The images are taken from different angles and different lighting conditions. Each image is labeled with a class label which can be used to classify the images into different categories. The GBI35K dataset also comes with a set of 90 desired classes that can be used to create classification tasks. Additionally, each image also comes with a set of annotations, such as category labels, type labels, and description labels. This allows for easier and more accurate image recognition.