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.

2018年6月9日 · 通用视觉数据基金会 (CVDF)作为一个非营利组织，致力于通过创建学术数据集及举办相关竞赛推动计算机视觉领域的开放研究。 该基金会提供的高质量标记数据对于促进学术研究至关重要，并通过竞赛监测研究进展。 http://www.cvdfoundation.org. Our Mission. mission ['mɪʃ(ə)n]：n. 使命，代表团，使团，天职 v. 作艰苦的长途旅行.

2021年4月27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

2019年5月20日 · 第一行：是指源图片本身下载，就是一张张图，不包含边界框等信息，主要两个地方可下，CVDF是指通用视觉数据基金会。 第二行：train-annotations-bbox.csv、validation-annotations-bbox.csv、test-annotations-bbox.csv. 指边界框等信息。

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Why CVDF? • Enable community-driven research through sharing data • Why sharing data? • new data enables new research direction • the progress of research community can be measured with the same metric

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.

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Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes. The AVA dataset densely annotates 80 atomic visual actions in 351k movie clips with actions localized in space and time, resulting in 1.65M action labels with multiple labels per human occurring fr…

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.