val2014 COCO
时间: 2024-02-10 12:57:00 浏览: 24
The COCO (Common Objects in Context) dataset is a large-scale image recognition, segmentation, and captioning dataset. It was introduced in 2014 and is commonly referred to as val2014 COCO, as it consists of 41,000 images taken from the validation set of the dataset. The images are diverse and include a range of objects in different contexts, making it a challenging dataset for computer vision research. The annotations include object bounding boxes, segmentation masks, and captions, making it useful for various tasks in computer vision, including object detection, segmentation, and captioning. The COCO dataset has since been updated with additional images and annotations, but the val2014 subset remains a commonly used benchmark for image recognition tasks.
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