{
  "id": 424843,
  "title": "Introduction",
  "url": "/competitions/asl-fingerspelling/discussion/424843",
  "author_name": "Raghav Garg 12",
  "post_date": "2023-07-16T05:40:21.527000",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>In this competition, the goal is to develop a computer model that can understand and translate American Sign Language (ASL) fingerspelling into written text. Fingerspelling is a way of spelling out words using hand gestures, and it is an important part of ASL.</p>\n<p>To train the model, a large dataset was created specifically for this competition. The dataset consists of more than three million instances of fingerspelled characters. These characters were produced by over 100 Deaf signers and were captured using the front camera of a smartphone. The dataset includes a variety of backgrounds and lighting conditions to make the model more robust.</p>\n<p>The reason this competition is important is because it can help improve sign language recognition using artificial intelligence (AI). By developing a reliable model, it can make AI more accessible for the Deaf and Hard of Hearing community. It would allow them to communicate more easily with technology and benefit from various AI applications.</p>",
  "messages": [
    {
      "id": 2346187,
      "postDate": "2023-07-16T05:40:21.527Z",
      "content": "<p>In this competition, the goal is to develop a computer model that can understand and translate American Sign Language (ASL) fingerspelling into written text. Fingerspelling is a way of spelling out words using hand gestures, and it is an important part of ASL.</p>\n<p>To train the model, a large dataset was created specifically for this competition. The dataset consists of more than three million instances of fingerspelled characters. These characters were produced by over 100 Deaf signers and were captured using the front camera of a smartphone. The dataset includes a variety of backgrounds and lighting conditions to make the model more robust.</p>\n<p>The reason this competition is important is because it can help improve sign language recognition using artificial intelligence (AI). By developing a reliable model, it can make AI more accessible for the Deaf and Hard of Hearing community. It would allow them to communicate more easily with technology and benefit from various AI applications.</p>",
      "rawMarkdown": "In this competition, the goal is to develop a computer model that can understand and translate American Sign Language (ASL) fingerspelling into written text. Fingerspelling is a way of spelling out words using hand gestures, and it is an important part of ASL.\n\nTo train the model, a large dataset was created specifically for this competition. The dataset consists of more than three million instances of fingerspelled characters. These characters were produced by over 100 Deaf signers and were captured using the front camera of a smartphone. The dataset includes a variety of backgrounds and lighting conditions to make the model more robust.\n\nThe reason this competition is important is because it can help improve sign language recognition using artificial intelligence (AI). By developing a reliable model, it can make AI more accessible for the Deaf and Hard of Hearing community. It would allow them to communicate more easily with technology and benefit from various AI applications.",
      "votes": 2
    },
    {
      "id": 2346212,
      "postDate": "2023-07-16T06:02:31.227Z",
      "content": "<p>Thanks for this!!</p>",
      "rawMarkdown": "Thanks for this!!",
      "votes": 1
    }
  ],
  "comments": [
    {
      "id": 2346212,
      "author_name": "ArnavanrA",
      "author_url": "",
      "post_date": "2023-07-16T06:02:31.227000",
      "content": "<p>Thanks for this!!</p>",
      "votes": 1,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2346187": "In this competition, the goal is to develop a computer model that can understand and translate American Sign Language (ASL) fingerspelling into written text. Fingerspelling is a way of spelling out words using hand gestures, and it is an important part of ASL.\n\nTo train the model, a large dataset was created specifically for this competition. The dataset consists of more than three million instances of fingerspelled characters. These characters were produced by over 100 Deaf signers and were captured using the front camera of a smartphone. The dataset includes a variety of backgrounds and lighting conditions to make the model more robust.\n\nThe reason this competition is important is because it can help improve sign language recognition using artificial intelligence (AI). By developing a reliable model, it can make AI more accessible for the Deaf and Hard of Hearing community. It would allow them to communicate more easily with technology and benefit from various AI applications.",
    "2346212": "Thanks for this!!"
  }
}