{
  "id": 412775,
  "title": "Thanks to all! Please add to the discussion of your methods!",
  "url": "/competitions/birdclef-2023/discussion/412775",
  "author_name": "",
  "post_date": "2023-05-25T06:32:22.333337300Z",
  "votes": 7,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Big thanks to all the competitors; I'm already enjoying reading the notes on different approaches as they come in. </p>\n<p>OpenVino is new to me, and will certainly make it's way into our tool-kit as we look at low-energy deployments; it's impressive that people managed ensembles with as many as seven models (!!) given the stringent time requirements. Also really cool to see the distillation approach in 4th place! </p>\n<p>I'm really looking forward to all of the model descriptions! As in previous years, I do in fact read everything, and make a bit of a score-board of what people say worked vs not to help guide our own experiments. So I encourage anyone who's taken a solid crack at the problem to write up your experiences; it really is helpful.</p>\n<p>And, of course, there's still time to write up your results for the BirdCLEF proceedings.</p>\n<p>Thanks again, everyone!</p>",
  "messages": [
    {
      "id": "2273410",
      "postDate": "05/25/2023 06:32:22",
      "content": "<p>Big thanks to all the competitors; I'm already enjoying reading the notes on different approaches as they come in. </p>\n<p>OpenVino is new to me, and will certainly make it's way into our tool-kit as we look at low-energy deployments; it's impressive that people managed ensembles with as many as seven models (!!) given the stringent time requirements. Also really cool to see the distillation approach in 4th place! </p>\n<p>I'm really looking forward to all of the model descriptions! As in previous years, I do in fact read everything, and make a bit of a score-board of what people say worked vs not to help guide our own experiments. So I encourage anyone who's taken a solid crack at the problem to write up your experiences; it really is helpful.</p>\n<p>And, of course, there's still time to write up your results for the BirdCLEF proceedings.</p>\n<p>Thanks again, everyone!</p>",
      "rawMarkdown": "Big thanks to all the competitors; I'm already enjoying reading the notes on different approaches as they come in. \n\nOpenVino is new to me, and will certainly make it's way into our tool-kit as we look at low-energy deployments; it's impressive that people managed ensembles with as many as seven models (!!) given the stringent time requirements. Also really cool to see the distillation approach in 4th place! \n\nI'm really looking forward to all of the model descriptions! As in previous years, I do in fact read everything, and make a bit of a score-board of what people say worked vs not to help guide our own experiments. So I encourage anyone who's taken a solid crack at the problem to write up your experiences; it really is helpful.\n\nAnd, of course, there's still time to write up your results for the BirdCLEF proceedings.\n\nThanks again, everyone!",
      "votes": null
    },
    {
      "id": "2273455",
      "postDate": "05/25/2023 06:56:21",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/tomdenton\" target=\"_blank\">@tomdenton</a>,</p>\n<p>I'm guessing that the Kaggle model is chirp and its developer is you. If so, my solution comes from your efforts. Thank you very much!</p>",
      "rawMarkdown": "Hi @tomdenton,\n\nI'm guessing that the Kaggle model is chirp and its developer is you. If so, my solution comes from your efforts. Thank you very much!",
      "votes": null
    },
    {
      "id": "2281229",
      "postDate": "05/30/2023 17:38:25",
      "content": "<p>I will add my method when i be better.</p>",
      "rawMarkdown": "I will add my method when i be better.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2273455,
      "author_name": "atsunorifujita",
      "author_url": "",
      "post_date": "05/25/2023 06:56:21",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/tomdenton\" target=\"_blank\">@tomdenton</a>,</p>\n<p>I'm guessing that the Kaggle model is chirp and its developer is you. If so, my solution comes from your efforts. Thank you very much!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2281229,
      "author_name": "emelyany4eff",
      "author_url": "",
      "post_date": "05/30/2023 17:38:25",
      "content": "<p>I will add my method when i be better.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2273410": "Big thanks to all the competitors; I'm already enjoying reading the notes on different approaches as they come in. \n\nOpenVino is new to me, and will certainly make it's way into our tool-kit as we look at low-energy deployments; it's impressive that people managed ensembles with as many as seven models (!!) given the stringent time requirements. Also really cool to see the distillation approach in 4th place! \n\nI'm really looking forward to all of the model descriptions! As in previous years, I do in fact read everything, and make a bit of a score-board of what people say worked vs not to help guide our own experiments. So I encourage anyone who's taken a solid crack at the problem to write up your experiences; it really is helpful.\n\nAnd, of course, there's still time to write up your results for the BirdCLEF proceedings.\n\nThanks again, everyone!",
    "2273455": "Hi @tomdenton,\n\nI'm guessing that the Kaggle model is chirp and its developer is you. If so, my solution comes from your efforts. Thank you very much!",
    "2281229": "I will add my method when i be better."
  },
  "source": "meta"
}