Microsoft COCO Classes Reference List

Published on October 15, 2024, by James Gallagher, the blog post discusses the Microsoft COCO dataset, which is extensively used for benchmarking and evaluating computer vision model architectures, as well as training base weights for transfer learning. The post highlights the 2020 COCO challenge that included tasks such as object detection, keypoint detection, panoptic segmentation, and dense pose estimation. It mentions the YOLO11 model trained on COCO and offers a playground to test the model's performance by identifying objects from 80 distinct classes, ranging from airplanes to zebras. The post encourages readers to explore models trained on Microsoft COCO through the Roboflow Universe playground and provides a comprehensive list of all object classes that COCO can identify. Additionally, the post offers citation information for referencing this content in research and invites readers to stay updated on computer vision developments.