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ABSTRACT

Image Captioning for the English language is a well-studied paradigm. During the last decade, there are many big datasets released and numerous efforts could be noticed in the literature on Image Captioning for English. However, Image Captioning for Indian languages has not been explored properly. Image Captioning has various applications such as recommendations in editing applications, usage in virtual assistants, image indexing, for visually impaired persons, social media, and several other natural language processing applications.
 is an endeavour to ignite the Image Captioning research for Indian languages. As this is the first iteration of this task we will be releasing large scale Hindi data – with an expectation that in the coming series we will be able to add more Indian languages.
 consists of 3 sub-tasks based on the increasing level of complexity, from the relatively easier to the toughest respectively. To understand each of the sub-tasks please look at the following descriptions and examples –

• 
  – The task is to generate a descriptive caption for a given image.दो आदमी हाथ मिला रहे हैं।Eng. Trans. – Two men are hand shaking.


– The task is to generate a vivid and conceptually more cleaer linguistic caption for a given image.

सूट में दो आदमी प्यारसे से हाथ मिला रहे हैं और मुस्कुरा रहे हैं।Eng. Trans. – Two men in suits are hand shaking warmly and smiling.
• 
  – The task is to generate a tweet for a given image, more like a reporter or a human user.मोदी और ट्रंप ने भारत और अमेरिका के बीच दोस्ती के नए युग की शुरुआत की। \#राउडीमोदीEng. trans. – Modi and Trump starts a new era of friendship between India and USA. \#rowdymodi

English Image2Tweet – 70K
Hindi Image2Tweet – 51K

In addition, we are releasing translated Hindi datasets for –
Flickr30K, MS COCO, and Google Conceptual Captioning