COCO2017数据集api说明

最新推荐文章于 2025-11-10 23:21:39 发布

原创

最新推荐文章于 2025-11-10 23:21:39 发布 · 3.1w 阅读

131 ·

CC 4.0 BY-SA版权

文章标签：

#COCO #Object Detection #Deep Learning #CNN

本文详细介绍了COCO数据集及其API的使用，包括数据集内容、安装API的方法以及如何利用API进行类别筛选、图片查询、实例分割等操作。通过实例展示了如何在图片上画出目标检测的结果。

什么是COCO？

COCO数据集是Microsoft制作收集用于Detection + Segmentation + Localization + Captioning的数据集，本人收集了其2017年的版本，一共有25G左右的图片和600M左右的标签文件。
COCO数据集共有小类80个，分别为

[‘person’, ‘bicycle’, ‘car’, ‘motorcycle’, ‘airplane’, ‘bus’, ‘train’, ‘truck’, ‘boat’, ‘traffic light’, ‘fire hydrant’, ‘stop sign’, ‘parking meter’, ‘bench’, ‘bird’, ‘cat’, ‘dog’, ‘horse’, ‘sheep’, ‘cow’, ‘elephant’, ‘bear’, ‘zebra’, ‘giraffe’, ‘backpack’, ‘umbrella’, ‘handbag’, ‘tie’, ‘suitcase’, ‘frisbee’, ‘skis’, ‘snowboard’, ‘sports ball’, ‘kite’, ‘baseball bat’, ‘baseball glove’, ‘skateboard’, ‘surfboard’, ‘tennis racket’, ‘bottle’, ‘wine glass’, ‘cup’, ‘fork’, ‘knife’, ‘spoon’, ‘bowl’, ‘banana’, ‘apple’, ‘sandwich’, ‘orange’, ‘broccoli’, ‘carrot’, ‘hot dog’, ‘pizza’, ‘donut’, ‘cake’, ‘chair’, ‘couch’, ‘potted plant’, ‘bed’, ‘dining table’, ‘toilet’, ‘tv’, ‘laptop’, ‘mouse’, ‘remote’, ‘keyboard’, ‘cell phone’, ‘microwave’, ‘oven’, ‘toaster’, ‘sink’, ‘refrigerator’, ‘book’, ‘clock’