The Common Visual Data Foundation is a 501 (c) (3) non-profit organization with a mission to enable open community-driven research in computer vision through the creation of academic datasets and corresponding competitions. The availability of high-quality labeled data is essential for enabling and evaluating state-of-the-art academic research.

CVDF hosts image files that have bounding boxes annotations in the Open Images Dataset V4/V5. These images contain the complete subsets of images for which instance segmentations and visual relations are annotated. The images are split into train (1,743,042), validation (41,620), and test (125,436) sets.

Kinetics is a collection of large-scale, high-quality datasets of URL links of up to 650,000 video clips that cover 400/600/700 human action classes, depending on the dataset version. The videos include human-object interactions such as playing instruments, as well as human-human interactions such as shaking hands and hugging.

We thank Prof. Yann LeCun to kindly allow CVDF to host a copy of images and annotations in MNIST database and Google Cloud Platform to provide storage space. The MNIST database of handwritten digits is one of the most popular image recognition datasets. It contains 60k examples for training and 10k examples for testing.

2022年4月11日 · 可以将图像从CVDF AWS S3云存储桶直接下载到本地目录中： s3://open-images-dataset 您可以按照以下步骤将映像下载到本地目录或自己的AWS

If you're interested in downloading the full set of training, test, or validation images (1.7M, 125k, and 42k, respectively; annotated with bounding boxes, etc.), you can download them packaged in various compressed files from CVDF's site:

2018年6月9日 · 通用视觉数据基金会 (Common Visual Data Foundation) 是一个 501 (c) (3) 非营利组织，其使命是通过创建学术 数据集 和进行相应的竞赛来实现开放的社区驱动的 计算机视觉 研究。 高质量标记数据的可用性对于启用和评估最新的学术研究至关重要。 由基金会赞助的竞赛，包括 COCO Detection, Keypoint, and Stuff challenges，可帮助社区监控其进展并将研究工作集中在核心计算机视觉问题上。 除了基金会主持的数据集和竞赛之外，其创建中使用的工具都是开 …

2021年4月27日 · 下载图片 下载带有边界框注释的图像 cvdf托管在“打开图像数据集v4 / v5”中具有边界框注释的图像文件。 这些图像包含完整的图像子集，并为其注释了实例分割和视觉关系。

The Common Visual Data Foundation is a 501 (c) (3) non-profit organization with a mission to enable open community-driven research in computer vision. Open Images is a dataset of ~9 million images that have been annotated with image-level labels and bounding boxes spanning thousands of classes.

2017年9月29日 · NEW YORK — The Common Visual Data Foundation (CVDF) today announced the COCO 2017 Stuff Segmentation Challenge, designed to push for innovation in semantic segmentation of stuff classes. CVDF, in cooperation with a research team at the University of Edinburgh, collaborated with Mighty AI to annotate 55,000 images across 91 stuff classes for ...