Pascal VOC (Visual Object Classes)
The Pascal VOC dataset is another widely used benchmark dataset for object detection, segmentation, and classification tasks. It consists of images across twenty object categories, including common objects like airplanes, bicycles, cars, and animals. Each image in the dataset is annotated with bounding boxes and object labels, making it suitable for tasks such as object detection and localization. Pascal VOC has been instrumental in advancing research in computer vision and remains a standard benchmark for evaluating new algorithms and techniques.
Dataset for Deep Learning
A dataset is a set of data that is employed to teach deep learning models. The scale, intricacy, or scope of these data sets may differ greatly depending on what exactly you’re attempting to achieve in terms of deep learning tasks or problems at hand.
In this article, we’ll dive into the concept of DeepLearning Dataset, and various types of datasets.