COCO Dataset Computer Vision Project

Microsoft

Updated 2 months ago

Description

Microsoft Common Objects in Context (COCO) Dataset

The Common Objects in Context (COCO) dataset is a widely recognized collection designed to spur object detection, segmentation, and captioning research. Created by Microsoft, COCO provides annotations, including object categories, keypoints, and more. The model it a valuable asset for machine learning practitioners and researchers. Today, many model architectures are benchmarked against COCO, which has enabled a standard system by which architectures can be compared.

While COCO is often touted to comprise over 300k images, it's pivotal to understand that this number includes diverse formats like keypoints, among others. Specifically, the labeled dataset for object detection stands at 123,272 images.

The full object detection labeled dataset is made available here, ensuring researchers have access to the most comprehensive data for their experiments. With that said, COCO has not released their test set annotations, meaning the test data doesn't come with labels. Thus, this data is not included in the dataset.

The Roboflow team has worked extensively with COCO. Here are a few links that may be helpful as you get started working with this dataset:

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Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            coco_dataset,
                            title = { COCO Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Microsoft },
                            howpublished = { \url{ https://universe.roboflow.com/microsoft/coco } },
                            url = { https://universe.roboflow.com/microsoft/coco },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-12-13 },
                            }