{
  "id": 323449,
  "title": "✨Interesting datasets for Image Classification✨",
  "url": "/competitions/digit-recognizer/discussion/323449",
  "author_name": "Bala Baskar",
  "post_date": "2022-05-06T15:34:53.248000",
  "votes": 0,
  "comment_count": 2,
  "views": null,
  "content": "<p>Following are some of the image classification datasets, that I have created, which you might find interesting &amp; useful to do analysis and build classification models</p>\n<ol>\n<li><p><a href=\"https://www.kaggle.com/datasets/balabaskar/tom-and-jerry-image-classification\" target=\"_blank\">Tom and Jerry Image classification</a><br>\nThis dataset contains 5478 images extracted from some of Tom &amp; Jerry's show videos, that are available online. The downloaded videos are converted into images with 1 frame per second (1 FPS). Labeling for these images is done manually (by going through images one by one to tag them as 1 of the 4 outcomes), so the accuracy of ground_truth is 100%</p></li>\n<li><p><a href=\"https://www.kaggle.com/datasets/balabaskar/wonders-of-the-world-image-classification\" target=\"_blank\">Wonders of the World Image Dataset</a><br>\nThis dataset contains a total of 3846 images placed in folders, with which each folder representing one of the top new wonders of the world. Images are extracted from Google Images and supervised manually to eliminate noisy images.</p></li>\n<li><p><a href=\"https://www.kaggle.com/datasets/balabaskar/cricket-legends-in-world-image-dataset\" target=\"_blank\">Cricket Legends Image Dataset</a><br>\nThis dataset contains a total of 6950 images of Cricket players, who are listed as the Greatest Cricketer of all time by BBC in the 2019 voting survey. Images are extracted from Google Images and supervised manually to eliminate noisy images.</p></li>\n<li><p><a href=\"https://www.kaggle.com/datasets/balabaskar/golden-foot-football-players-image-dataset\" target=\"_blank\">Golden Foot Football players Image Dataset</a><br>\nThis dataset contains a total of 7189 images of Football players, who are the recipients of the Golden Foot award. Images are extracted from Google Images and supervised manually to eliminate noisy images.</p></li>\n</ol>\n<p>Hope you find these datasets interesting and useful 😄</p>",
  "messages": [
    {
      "id": 1779897,
      "postDate": "2022-05-06T23:30:22.773Z",
      "content": "<p>These datasets look really well curated and supervised! I'm definitely going to try some models on them. Thanks for sharing!</p>",
      "rawMarkdown": "These datasets look really well curated and supervised! I'm definitely going to try some models on them. Thanks for sharing!",
      "votes": 1
    },
    {
      "id": 1779585,
      "postDate": "2022-05-06T15:34:53.250Z",
      "content": "<p>Following are some of the image classification datasets, that I have created, which you might find interesting &amp; useful to do analysis and build classification models</p>\n<ol>\n<li><p><a href=\"https://www.kaggle.com/datasets/balabaskar/tom-and-jerry-image-classification\" target=\"_blank\">Tom and Jerry Image classification</a><br>\nThis dataset contains 5478 images extracted from some of Tom &amp; Jerry's show videos, that are available online. The downloaded videos are converted into images with 1 frame per second (1 FPS). Labeling for these images is done manually (by going through images one by one to tag them as 1 of the 4 outcomes), so the accuracy of ground_truth is 100%</p></li>\n<li><p><a href=\"https://www.kaggle.com/datasets/balabaskar/wonders-of-the-world-image-classification\" target=\"_blank\">Wonders of the World Image Dataset</a><br>\nThis dataset contains a total of 3846 images placed in folders, with which each folder representing one of the top new wonders of the world. Images are extracted from Google Images and supervised manually to eliminate noisy images.</p></li>\n<li><p><a href=\"https://www.kaggle.com/datasets/balabaskar/cricket-legends-in-world-image-dataset\" target=\"_blank\">Cricket Legends Image Dataset</a><br>\nThis dataset contains a total of 6950 images of Cricket players, who are listed as the Greatest Cricketer of all time by BBC in the 2019 voting survey. Images are extracted from Google Images and supervised manually to eliminate noisy images.</p></li>\n<li><p><a href=\"https://www.kaggle.com/datasets/balabaskar/golden-foot-football-players-image-dataset\" target=\"_blank\">Golden Foot Football players Image Dataset</a><br>\nThis dataset contains a total of 7189 images of Football players, who are the recipients of the Golden Foot award. Images are extracted from Google Images and supervised manually to eliminate noisy images.</p></li>\n</ol>\n<p>Hope you find these datasets interesting and useful 😄</p>",
      "rawMarkdown": "Following are some of the image classification datasets, that I have created, which you might find interesting & useful to do analysis and build classification models\n\n1. [Tom and Jerry Image classification](https://www.kaggle.com/datasets/balabaskar/tom-and-jerry-image-classification)\nThis dataset contains 5478 images extracted from some of Tom & Jerry's show videos, that are available online. The downloaded videos are converted into images with 1 frame per second (1 FPS). Labeling for these images is done manually (by going through images one by one to tag them as 1 of the 4 outcomes), so the accuracy of ground_truth is 100%\n\n2. [Wonders of the World Image Dataset](https://www.kaggle.com/datasets/balabaskar/wonders-of-the-world-image-classification)\nThis dataset contains a total of 3846 images placed in folders, with which each folder representing one of the top new wonders of the world. Images are extracted from Google Images and supervised manually to eliminate noisy images.\n\n3. [Cricket Legends Image Dataset](https://www.kaggle.com/datasets/balabaskar/cricket-legends-in-world-image-dataset)\nThis dataset contains a total of 6950 images of Cricket players, who are listed as the Greatest Cricketer of all time by BBC in the 2019 voting survey. Images are extracted from Google Images and supervised manually to eliminate noisy images.\n\n\n4. [Golden Foot Football players Image Dataset](https://www.kaggle.com/datasets/balabaskar/golden-foot-football-players-image-dataset)\nThis dataset contains a total of 7189 images of Football players, who are the recipients of the Golden Foot award. Images are extracted from Google Images and supervised manually to eliminate noisy images.\n\nHope you find these datasets interesting and useful :smile:"
    },
    {
      "id": 1810897,
      "postDate": "2022-06-04T03:50:28.883Z",
      "content": "<p>Great Datasets! Thanks for Sharing.</p>",
      "rawMarkdown": "Great Datasets! Thanks for Sharing.",
      "votes": 2
    }
  ],
  "comments": [
    {
      "id": 1779897,
      "author_name": "",
      "author_url": "",
      "post_date": "2022-05-06T23:30:22.773000",
      "content": "<p>These datasets look really well curated and supervised! I'm definitely going to try some models on them. Thanks for sharing!</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 1810897,
      "author_name": "ApoU",
      "author_url": "",
      "post_date": "2022-06-04T03:50:28.883000",
      "content": "<p>Great Datasets! Thanks for Sharing.</p>",
      "votes": 2,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1779897": "These datasets look really well curated and supervised! I'm definitely going to try some models on them. Thanks for sharing!",
    "1779585": "Following are some of the image classification datasets, that I have created, which you might find interesting & useful to do analysis and build classification models\n\n1. [Tom and Jerry Image classification](https://www.kaggle.com/datasets/balabaskar/tom-and-jerry-image-classification)\nThis dataset contains 5478 images extracted from some of Tom & Jerry's show videos, that are available online. The downloaded videos are converted into images with 1 frame per second (1 FPS). Labeling for these images is done manually (by going through images one by one to tag them as 1 of the 4 outcomes), so the accuracy of ground_truth is 100%\n\n2. [Wonders of the World Image Dataset](https://www.kaggle.com/datasets/balabaskar/wonders-of-the-world-image-classification)\nThis dataset contains a total of 3846 images placed in folders, with which each folder representing one of the top new wonders of the world. Images are extracted from Google Images and supervised manually to eliminate noisy images.\n\n3. [Cricket Legends Image Dataset](https://www.kaggle.com/datasets/balabaskar/cricket-legends-in-world-image-dataset)\nThis dataset contains a total of 6950 images of Cricket players, who are listed as the Greatest Cricketer of all time by BBC in the 2019 voting survey. Images are extracted from Google Images and supervised manually to eliminate noisy images.\n\n\n4. [Golden Foot Football players Image Dataset](https://www.kaggle.com/datasets/balabaskar/golden-foot-football-players-image-dataset)\nThis dataset contains a total of 7189 images of Football players, who are the recipients of the Golden Foot award. Images are extracted from Google Images and supervised manually to eliminate noisy images.\n\nHope you find these datasets interesting and useful :smile:",
    "1810897": "Great Datasets! Thanks for Sharing."
  }
}