Crisscrossed-Captions | Extended Intramodal and Intermodal Semantic Similarity | Data Labeling library

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

kandi X-RAY | Crisscrossed-Captions Summary

kandi X-RAY | Crisscrossed-Captions Summary

Crisscrossed-Captions is a Python library typically used in Artificial Intelligence, Data Labeling applications. Crisscrossed-Captions has no bugs, it has no vulnerabilities, it has build file available and it has low support. However Crisscrossed-Captions has a Non-SPDX License. You can download it from GitHub.

Crisscrossed Captions (CxC) contains 247,315 human-labeled annotations including positive and negative associations between image pairs, caption pairs and image-caption pairs. For more details, please refer the accompanying paper: Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO.
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            kandi-support Support

              Crisscrossed-Captions has a low active ecosystem.
              It has 17 star(s) with 0 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 3 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Crisscrossed-Captions is current.

            kandi-Quality Quality

              Crisscrossed-Captions has no bugs reported.

            kandi-Security Security

              Crisscrossed-Captions has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Crisscrossed-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.

            kandi-Reuse Reuse

              Crisscrossed-Captions releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Crisscrossed-Captions and discovered the below as its top functions. This is intended to give you an instant insight into Crisscrossed-Captions implemented functionality, and help decide if they suit your requirements.
            • Reads and updates the data from the cxc_score data .
            • Read cxc data .
            • Parse cxc files .
            Get all kandi verified functions for this library.

            Crisscrossed-Captions Key Features

            No Key Features are available at this moment for Crisscrossed-Captions.

            Crisscrossed-Captions Examples and Code Snippets

            No Code Snippets are available at this moment for Crisscrossed-Captions.

            Community Discussions

            QUESTION

            How can I do this split process in Python?
            Asked 2021-Dec-30 at 14:06

            I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

            What I've done so far is make this representation with the same enumerator class.

            A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

            ...

            ANSWER

            Answered 2021-Dec-30 at 13:57

            Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

            Source https://stackoverflow.com/questions/70532286

            QUESTION

            Replacing a character with a space and dividing the string into two words in R
            Asked 2020-Nov-18 at 07:32

            I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

            In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

            i have this:

            ...

            ANSWER

            Answered 2020-Nov-16 at 07:24

            QUESTION

            Azure ML FileDataset registers, but cannot be accessed for Data Labeling project
            Asked 2020-Oct-28 at 20:31

            Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

            Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

            Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

            ...

            ANSWER

            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?

            Source https://stackoverflow.com/questions/64546521

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

            Vulnerabilities

            No vulnerabilities reported

            Install Crisscrossed-Captions

            You can download it from GitHub.
            You can use Crisscrossed-Captions like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            If you have a technical question regarding the dataset or publication, please create an issue in this repository.
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            https://github.com/google-research-datasets/Crisscrossed-Captions.git

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            gh repo clone google-research-datasets/Crisscrossed-Captions

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            git@github.com:google-research-datasets/Crisscrossed-Captions.git

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