CVDF. Common Visual Data Foundation. Our Mission. 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.

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.

CVDF currently hosts the videos in the Kinetics-400 and Kinetics-700-2020 datasets.

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

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. - Common Visual Data Foundation

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:

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。

2018年6月9日 · 资源摘要信息:"椭圆曲线vdf-cvdf：使用椭圆曲线的vdf和cvdf实现" 本资源详细阐述了使用椭圆曲线构造的验证延迟函数（vdf）和可验证延迟函数组合（cvdf），并通过python语言进行具体实现。在此基础上，它还强调了...

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. About The MNIST database of handwritten digits is one of the most popular image recognition datasets.

Subset with Bounding Boxes (600 classes) and Visual Relationships These annotation files cover the 600 boxable object classes, and span the 1,743,042 training images where we annotated bounding boxes and visual relationships, as well as the full validation (41,620 images) and test (125,436 images) sets.