{ "fetched_at": "2026-10-24T13:43:56Z", "source_url": "https://www.kaggle.com/competitions/104-1-mlds-final-project/data", "pages": [ { "name": "data-description", "content": "\r\n\r\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Description", "content": "

  In this final project, you are going solve multiple choices question according to their corresponding images. An example is shown below:

\r\n

\r\n

  Obviously, the answer is (C)bananas. To correctly answer questions, your AI system needs to solve a number of sub-problems in Natural Language Processing and Computer Vision, in addition to being able to perform some kind of “common-sense” reasoning. It needs to localize the subject being referenced (something being sold), and needs to detect objects (bananas).

\r\n

Detail about this project

\r\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Evaluation", "content": "

The performance is measured by Categorization Accuracy.

\r\n
\r\n

Submission Format

\r\n

For every question in the dataset, submission files should contain two columns: q_id and ans. \"q_id\" is the ID number of the question and each ID must contain 7 digits. \"ans\" is the answer you chose, and you only have to report the item name (A to E). 

\r\n

The file should contain a header and have the following format:

\r\n
q_id,ans
0000421,D
0000422,A
0000731,C
0000732,C
0000740,C
etc.
", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "rules", "content": "\r\n\t\r\n

One account per participant

\r\n

You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.

\r\n

No private sharing outside teams

\r\n

\r\n Privately sharing code or data outside of teams is not permitted.\r\n It's okay to share code if made available to all participants on the forums.\r\n

\r\n

Team Mergers

\r\n

\r\n Team mergers are allowed and can be performed by the team leader. In order to merge, the combined team must have a total submission count less than or equal to the maximum allowed as of the merge date. The maximum allowed is the number of submissions per day multiplied by the number of days the competition has been running.
\r\n

\r\n\r\n

Team Limits

\r\n

There is no maximum team size.

\r\n

Submission Limits

\r\n

You may submit a maximum of 99 entries per day.

\r\n

You may select up to 2 final submissions for judging.

\r\n

Competition Timeline

\r\n

Start Date: 12/22/2015 12:20 AM UTC

\r\n

Merger Deadline: None

\r\n

Entry Deadline: None

\r\n

End Date: 1/20/2016 3:59 PM UTC

\r\n\t\r\n

You Can...

\r\n

Use any toolkit ( Caffe, libsvm, libdnn … )
Use any library ( theano, Torch, Tensorflow … )
Use any open-source (github)

\r\n

You CAN'T...

\r\n

Answer questions by yourself

\r\n

Sources You Can Use

\r\n

Any image data set ( e.g., ImageNet )
Any pre-trained image model (e.g., VGG, GoogLeNet )
Any text corpus ( e.g., Wikipedia )
Any knowledge base ( e.g., WordNet )
Any pre-trained word embedding model

\r\n

ANY SOURCES FROM THIS LINK IS FORBIDDEN :

\r\n

visualqa.org/download.html

", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false } ] }