conceptual-captions | Conceptual Captions is a dataset containing (image-URL, caption) pairs designed for the training and | Dataset library

by google-research-datasets Shell Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | conceptual-captions Summary

conceptual-captions is a Shell library typically used in Artificial Intelligence, Dataset applications. conceptual-captions has no bugs, it has no vulnerabilities and it has low support. However conceptual-captions has a Non-SPDX License. You can download it from GitHub.

Conceptual Captions dataset release contains two splits: train (~3.3M examples) and validation (~16K examples). See Table 1 below for more details. Table 1: Dataset stats.

Support

Quality

Security

License

Reuse

Support

conceptual-captions has a low active ecosystem.

It has 433 star(s) with 21 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 11 have been closed. On average issues are closed in 75 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of conceptual-captions is current.

Quality

conceptual-captions has 0 bugs and 0 code smells.

Security

conceptual-captions has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

conceptual-captions code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

conceptual-captions has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

conceptual-captions releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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conceptual-captions Key Features

No Key Features are available at this moment for conceptual-captions.

conceptual-captions Examples and Code Snippets

No Code Snippets are available at this moment for conceptual-captions.

Community Discussions

Trending Discussions on conceptual-captions

Why are width and height of an image are inverted when loading using PIL versus cv2?

QUESTION

Why are width and height of an image are inverted when loading using PIL versus cv2?

Asked 2020-Sep-18 at 06:54

I am loading an image using PIL and cv2 packages. The height and width are reversed when loading the image using PIL versus when loading using cv2. Following is the code to print height and width of the image loaded using both the packages.

...

ANSWER

Answered 2020-Sep-18 at 06:50

The image has some EXIF meta data including information about orientation (rotation). I suggest reading this Q&A and subsequent references there.

Nevertheless, the proposed solution there can be simplified nowadays, just use PIL.ImageOps.exif_transpose():

If an image has an EXIF Orientation tag, return a new image that is transposed accordingly. Otherwise, return a copy of the image.

Some code to test:

Source https://stackoverflow.com/questions/63947990

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install conceptual-captions

You can download it from GitHub.

Support

If you have a technical question regarding the dataset, code or publication, please create an issue in this repository. This is the fastest way to reach us. If you would like to share feedback or report concerns, please email us at conceptual-captions@google.com.

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