{
  "id": 412712,
  "title": "Top Solutions Post (will be updated as shared)",
  "url": "/competitions/birdclef-2023/discussion/412712",
  "author_name": "Sinan Calisir",
  "post_date": "2023-05-25T01:01:24.682000",
  "votes": 3,
  "comment_count": 0,
  "views": 0,
  "content": "<ul>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412808\" target=\"_blank\">1st place solution: Correct Data is All You Need</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412707\" target=\"_blank\">2nd place solution(7 models ensemble)</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412753\" target=\"_blank\">4th Place Solution: Knowledge Distillation is all you need</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412903\" target=\"_blank\">5th place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412708\" target=\"_blank\">6th place solution: BirdNET embedding + CNN</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412922\" target=\"_blank\">7th place solution</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412871\" target=\"_blank\">8th Place Solution: Implementing Multimodal Data Augmentation Methods with YOLOv8, Recommendation Systems, among others</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412794\" target=\"_blank\">9th Place Solution: 7 CNN Models Ensemble</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412713\" target=\"_blank\">10th place solution with the help of ChatGPT</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412768\" target=\"_blank\">12th place solution: 8 CNN models ensemble with OpenVINO</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412742\" target=\"_blank\">20th place solution: SED + CNN ensemble using onnx</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412996\" target=\"_blank\">24th place solution - pre-training &amp; single model (5 folds ensemble with ONNX)</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412869\" target=\"_blank\">37th place solution - TF CNN + BirdNet emb. cls. &amp; XGB</a></li>\n</ul>\n<p>To be continued… Will be updated when we have more results…</p>",
  "messages": [
    {
      "id": 2273027,
      "postDate": "2023-05-25T01:01:24.683Z",
      "content": "<ul>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412808\" target=\"_blank\">1st place solution: Correct Data is All You Need</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412707\" target=\"_blank\">2nd place solution(7 models ensemble)</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412753\" target=\"_blank\">4th Place Solution: Knowledge Distillation is all you need</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412903\" target=\"_blank\">5th place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412708\" target=\"_blank\">6th place solution: BirdNET embedding + CNN</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412922\" target=\"_blank\">7th place solution</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412871\" target=\"_blank\">8th Place Solution: Implementing Multimodal Data Augmentation Methods with YOLOv8, Recommendation Systems, among others</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412794\" target=\"_blank\">9th Place Solution: 7 CNN Models Ensemble</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412713\" target=\"_blank\">10th place solution with the help of ChatGPT</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412768\" target=\"_blank\">12th place solution: 8 CNN models ensemble with OpenVINO</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412742\" target=\"_blank\">20th place solution: SED + CNN ensemble using onnx</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412996\" target=\"_blank\">24th place solution - pre-training &amp; single model (5 folds ensemble with ONNX)</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/birdclef-2023/discussion/412869\" target=\"_blank\">37th place solution - TF CNN + BirdNet emb. cls. &amp; XGB</a></li>\n</ul>\n<p>To be continued… Will be updated when we have more results…</p>",
      "rawMarkdown": "- [1st place solution: Correct Data is All You Need](https://www.kaggle.com/competitions/birdclef-2023/discussion/412808)\n- [2nd place solution(7 models ensemble)](https://www.kaggle.com/competitions/birdclef-2023/discussion/412707)\n- [4th Place Solution: Knowledge Distillation is all you need](https://www.kaggle.com/competitions/birdclef-2023/discussion/412753)\n- [5th place Solution](https://www.kaggle.com/competitions/birdclef-2023/discussion/412903)\n- [6th place solution: BirdNET embedding + CNN](https://www.kaggle.com/competitions/birdclef-2023/discussion/412708)\n- [7th place solution](https://www.kaggle.com/competitions/birdclef-2023/discussion/412922)\n- [8th Place Solution: Implementing Multimodal Data Augmentation Methods with YOLOv8, Recommendation Systems, among others](https://www.kaggle.com/competitions/birdclef-2023/discussion/412871)\n- [9th Place Solution: 7 CNN Models Ensemble](https://www.kaggle.com/competitions/birdclef-2023/discussion/412794)\n- [10th place solution with the help of ChatGPT](https://www.kaggle.com/competitions/birdclef-2023/discussion/412713)\n- [12th place solution: 8 CNN models ensemble with OpenVINO](https://www.kaggle.com/competitions/birdclef-2023/discussion/412768)\n- [20th place solution: SED + CNN ensemble using onnx](https://www.kaggle.com/competitions/birdclef-2023/discussion/412742)\n- [24th place solution - pre-training & single model (5 folds ensemble with ONNX)](https://www.kaggle.com/competitions/birdclef-2023/discussion/412996)\n- [37th place solution - TF CNN + BirdNet emb. cls. & XGB](https://www.kaggle.com/competitions/birdclef-2023/discussion/412869)\n\nTo be continued... Will be updated when we have more results...",
      "votes": 3
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2273027": "- [1st place solution: Correct Data is All You Need](https://www.kaggle.com/competitions/birdclef-2023/discussion/412808)\n- [2nd place solution(7 models ensemble)](https://www.kaggle.com/competitions/birdclef-2023/discussion/412707)\n- [4th Place Solution: Knowledge Distillation is all you need](https://www.kaggle.com/competitions/birdclef-2023/discussion/412753)\n- [5th place Solution](https://www.kaggle.com/competitions/birdclef-2023/discussion/412903)\n- [6th place solution: BirdNET embedding + CNN](https://www.kaggle.com/competitions/birdclef-2023/discussion/412708)\n- [7th place solution](https://www.kaggle.com/competitions/birdclef-2023/discussion/412922)\n- [8th Place Solution: Implementing Multimodal Data Augmentation Methods with YOLOv8, Recommendation Systems, among others](https://www.kaggle.com/competitions/birdclef-2023/discussion/412871)\n- [9th Place Solution: 7 CNN Models Ensemble](https://www.kaggle.com/competitions/birdclef-2023/discussion/412794)\n- [10th place solution with the help of ChatGPT](https://www.kaggle.com/competitions/birdclef-2023/discussion/412713)\n- [12th place solution: 8 CNN models ensemble with OpenVINO](https://www.kaggle.com/competitions/birdclef-2023/discussion/412768)\n- [20th place solution: SED + CNN ensemble using onnx](https://www.kaggle.com/competitions/birdclef-2023/discussion/412742)\n- [24th place solution - pre-training & single model (5 folds ensemble with ONNX)](https://www.kaggle.com/competitions/birdclef-2023/discussion/412996)\n- [37th place solution - TF CNN + BirdNet emb. cls. & XGB](https://www.kaggle.com/competitions/birdclef-2023/discussion/412869)\n\nTo be continued... Will be updated when we have more results..."
  }
}