{
  "id": 382009,
  "title": "Some useful public notebooks and approaches",
  "url": "/competitions/nfl-player-contact-detection/discussion/382009",
  "author_name": "",
  "post_date": "2023-01-29T06:20:35.379412400Z",
  "votes": 6,
  "comment_count": 2,
  "views": 0,
  "content": "<p><strong>Please feel free to comment any publicly available notebook that you think might be interesting or useful.</strong></p>\n<p><strong>EDA and Getting Started</strong></p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/robikscube/nfl-player-contact-detection-getting-started\" target=\"_blank\">NFL Player Contact Detection - Getting Started</a></li>\n<li><a href=\"https://www.kaggle.com/code/mattop/nfl-player-contact-detection-eda\" target=\"_blank\">NFL Player Contact Detection EDA</a></li>\n</ul>\n<p><strong>2.5D CNN</strong></p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/zzy990106/nfl-2-5d-cnn-baseline-inference\" target=\"_blank\">NFL 2.5D CNN Baseline [Inference]</a></li>\n<li><a href=\"https://www.kaggle.com/code/royalacecat/lb-0-671-2-5d-cnn-baseline-more-tta-trick\" target=\"_blank\">LB:0.671, 2.5D CNN Baseline（More TTA trick)</a></li>\n</ul>\n<p><strong>XGBoost</strong></p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/columbia2131/nfl-player-contact-detection-simple-xgb-baseline\" target=\"_blank\">NFL Player Contact Detection - Simple XGB baseline</a></li>\n<li><a href=\"https://www.kaggle.com/code/ahmedelfazouan/nfl-player-contact-detection-helmet-track-ftrs\" target=\"_blank\">NFL Player Contact Detection + Helmet track ftrs</a></li>\n</ul>\n<p><strong>Object Detection and Segmentation</strong></p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/dariussingh/nfl-yolov8-object-detection-and-segmentation\" target=\"_blank\">NFL - YOLOv8 Object Detection and Segmentation</a></li>\n<li><a href=\"https://www.kaggle.com/code/samir95/nfl-players-instance-segmentation-yolov7\" target=\"_blank\">NFL Players Instance Segmentation (YOLOV7)</a></li>\n<li><a href=\"https://www.kaggle.com/code/stpeteishii/nfl-yolov8-player-position-detection\" target=\"_blank\">NFL YOLOv8 Player Position Detection</a></li>\n<li><a href=\"https://www.kaggle.com/code/satyaprakashshukl/player-detection-segmentation\" target=\"_blank\">Player Detection Segmentation</a></li>\n</ul>\n<p><strong>Pose Estimation</strong></p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/dariussingh/nfl-multipose-estimation-using-yolov8-mediapipe\" target=\"_blank\">NFL- MultiPose Estimation using YOLOv8 &amp; Mediapipe</a></li>\n</ul>",
  "messages": [
    {
      "id": "2119835",
      "postDate": "01/29/2023 06:20:35",
      "content": "<p><strong>Please feel free to comment any publicly available notebook that you think might be interesting or useful.</strong></p>\n<p><strong>EDA and Getting Started</strong></p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/robikscube/nfl-player-contact-detection-getting-started\" target=\"_blank\">NFL Player Contact Detection - Getting Started</a></li>\n<li><a href=\"https://www.kaggle.com/code/mattop/nfl-player-contact-detection-eda\" target=\"_blank\">NFL Player Contact Detection EDA</a></li>\n</ul>\n<p><strong>2.5D CNN</strong></p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/zzy990106/nfl-2-5d-cnn-baseline-inference\" target=\"_blank\">NFL 2.5D CNN Baseline [Inference]</a></li>\n<li><a href=\"https://www.kaggle.com/code/royalacecat/lb-0-671-2-5d-cnn-baseline-more-tta-trick\" target=\"_blank\">LB:0.671, 2.5D CNN Baseline（More TTA trick)</a></li>\n</ul>\n<p><strong>XGBoost</strong></p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/columbia2131/nfl-player-contact-detection-simple-xgb-baseline\" target=\"_blank\">NFL Player Contact Detection - Simple XGB baseline</a></li>\n<li><a href=\"https://www.kaggle.com/code/ahmedelfazouan/nfl-player-contact-detection-helmet-track-ftrs\" target=\"_blank\">NFL Player Contact Detection + Helmet track ftrs</a></li>\n</ul>\n<p><strong>Object Detection and Segmentation</strong></p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/dariussingh/nfl-yolov8-object-detection-and-segmentation\" target=\"_blank\">NFL - YOLOv8 Object Detection and Segmentation</a></li>\n<li><a href=\"https://www.kaggle.com/code/samir95/nfl-players-instance-segmentation-yolov7\" target=\"_blank\">NFL Players Instance Segmentation (YOLOV7)</a></li>\n<li><a href=\"https://www.kaggle.com/code/stpeteishii/nfl-yolov8-player-position-detection\" target=\"_blank\">NFL YOLOv8 Player Position Detection</a></li>\n<li><a href=\"https://www.kaggle.com/code/satyaprakashshukl/player-detection-segmentation\" target=\"_blank\">Player Detection Segmentation</a></li>\n</ul>\n<p><strong>Pose Estimation</strong></p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/dariussingh/nfl-multipose-estimation-using-yolov8-mediapipe\" target=\"_blank\">NFL- MultiPose Estimation using YOLOv8 &amp; Mediapipe</a></li>\n</ul>",
      "rawMarkdown": "**Please feel free to comment any publicly available notebook that you think might be interesting or useful.**\n\n\n**EDA and Getting Started**\n- [NFL Player Contact Detection - Getting Started](https://www.kaggle.com/code/robikscube/nfl-player-contact-detection-getting-started)\n- [NFL Player Contact Detection EDA](https://www.kaggle.com/code/mattop/nfl-player-contact-detection-eda)\n\n**2.5D CNN**\n- [NFL 2.5D CNN Baseline [Inference]](https://www.kaggle.com/code/zzy990106/nfl-2-5d-cnn-baseline-inference)\n- [LB:0.671, 2.5D CNN Baseline（More TTA trick)](https://www.kaggle.com/code/royalacecat/lb-0-671-2-5d-cnn-baseline-more-tta-trick)\n\n**XGBoost**\n- [NFL Player Contact Detection - Simple XGB baseline](https://www.kaggle.com/code/columbia2131/nfl-player-contact-detection-simple-xgb-baseline)\n- [NFL Player Contact Detection + Helmet track ftrs](https://www.kaggle.com/code/ahmedelfazouan/nfl-player-contact-detection-helmet-track-ftrs)\n\n**Object Detection and Segmentation**\n- [NFL - YOLOv8 Object Detection and Segmentation](https://www.kaggle.com/code/dariussingh/nfl-yolov8-object-detection-and-segmentation)\n- [NFL Players Instance Segmentation (YOLOV7)](https://www.kaggle.com/code/samir95/nfl-players-instance-segmentation-yolov7)\n- [NFL YOLOv8 Player Position Detection](https://www.kaggle.com/code/stpeteishii/nfl-yolov8-player-position-detection)\n- [Player Detection Segmentation](https://www.kaggle.com/code/satyaprakashshukl/player-detection-segmentation)\n\n**Pose Estimation**\n- [NFL- MultiPose Estimation using YOLOv8 & Mediapipe](https://www.kaggle.com/code/dariussingh/nfl-multipose-estimation-using-yolov8-mediapipe)",
      "votes": null
    },
    {
      "id": "2127656",
      "postDate": "02/03/2023 03:20:39",
      "content": "<p>Nice post!</p>",
      "rawMarkdown": "Nice post!",
      "votes": null
    },
    {
      "id": "2131456",
      "postDate": "02/06/2023 06:12:41",
      "content": "<p>Thank you for the helpful links!</p>",
      "rawMarkdown": "Thank you for the helpful links!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2127656,
      "author_name": "chg0901",
      "author_url": "",
      "post_date": "02/03/2023 03:20:39",
      "content": "<p>Nice post!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2131456,
      "author_name": "defender373",
      "author_url": "",
      "post_date": "02/06/2023 06:12:41",
      "content": "<p>Thank you for the helpful links!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2119835": "**Please feel free to comment any publicly available notebook that you think might be interesting or useful.**\n\n\n**EDA and Getting Started**\n- [NFL Player Contact Detection - Getting Started](https://www.kaggle.com/code/robikscube/nfl-player-contact-detection-getting-started)\n- [NFL Player Contact Detection EDA](https://www.kaggle.com/code/mattop/nfl-player-contact-detection-eda)\n\n**2.5D CNN**\n- [NFL 2.5D CNN Baseline [Inference]](https://www.kaggle.com/code/zzy990106/nfl-2-5d-cnn-baseline-inference)\n- [LB:0.671, 2.5D CNN Baseline（More TTA trick)](https://www.kaggle.com/code/royalacecat/lb-0-671-2-5d-cnn-baseline-more-tta-trick)\n\n**XGBoost**\n- [NFL Player Contact Detection - Simple XGB baseline](https://www.kaggle.com/code/columbia2131/nfl-player-contact-detection-simple-xgb-baseline)\n- [NFL Player Contact Detection + Helmet track ftrs](https://www.kaggle.com/code/ahmedelfazouan/nfl-player-contact-detection-helmet-track-ftrs)\n\n**Object Detection and Segmentation**\n- [NFL - YOLOv8 Object Detection and Segmentation](https://www.kaggle.com/code/dariussingh/nfl-yolov8-object-detection-and-segmentation)\n- [NFL Players Instance Segmentation (YOLOV7)](https://www.kaggle.com/code/samir95/nfl-players-instance-segmentation-yolov7)\n- [NFL YOLOv8 Player Position Detection](https://www.kaggle.com/code/stpeteishii/nfl-yolov8-player-position-detection)\n- [Player Detection Segmentation](https://www.kaggle.com/code/satyaprakashshukl/player-detection-segmentation)\n\n**Pose Estimation**\n- [NFL- MultiPose Estimation using YOLOv8 & Mediapipe](https://www.kaggle.com/code/dariussingh/nfl-multipose-estimation-using-yolov8-mediapipe)",
    "2127656": "Nice post!",
    "2131456": "Thank you for the helpful links!"
  },
  "source": "meta"
}