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What kind of dataset is the coco dataset?


Asked by Cruz Cruz on Dec 02, 2021 FAQ



COCO is a large-scale object detection, segmentation, and captioning dataset. Note: * Some images from the train and validation sets don't have annotations.
In respect to this,
The COCO dataset contains multiple computer vision tasks, listed here in descending order of commonality: Object Detection - Objects are annotated with a bounding box and class label Semantic Segmentation - The boundary of objects are labeled with a mask and object classes are labeled with a class label
Additionally, Back in 2014 Microsoft created a dataset called COCO (Common Objects in COntext) to help advance research in object recognition and scene understanding.
In this manner,
What is the COCO Dataset? The Common Objects in Context (COCO) dataset is one of the most popular open source object recognition databases used to train deep learning programs. This database includes hundreds of thousands of images with millions of already labeled objects for training.
And,
The COCO dataset is available for download from the download page. To compare and confirm the available object categories in COCO dataset, we can run a simple Python script that will output the list of the object categories. This can be replicated by following these steps on Ubuntu or other GNU/Linux distros.