COCO (Common Objects in Context)
COCO is a large-scale dataset designed for object detection, segmentation, and captioning tasks. It contains over 200,000 images, each annotated with object labels, segmentation masks, and captions. COCO covers 80 object categories, including common everyday objects such as people, animals, vehicles, and household items. The dataset’s rich annotations make it valuable for training and evaluating models for tasks such as instance segmentation, where the goal is to precisely delineate and classify individual objects within images.
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.