{
  "id": 130963,
  "title": "Image features extraction tools & resources",
  "url": "/competitions/deepfake-detection-challenge/discussion/130963",
  "author_name": "",
  "post_date": "2020-02-17T10:35:43.938433100Z",
  "votes": 16,
  "comment_count": 5,
  "views": 0,
  "content": "<p>Here I list some interesting Kernels &amp; Datasets for image features extraction and fake detection.</p>\n\n<h2>Kernels</h2>\n\n<ol>\n<li>[Tutorial] Image Feature Extraction and Matching, <a href=\"https://www.kaggle.com/wesamelshamy/tutorial-image-feature-extraction-and-matching\">https://www.kaggle.com/wesamelshamy/tutorial-image-feature-extraction-and-matching</a>    </li>\n<li>Image Feature Extraction and Matching for Newbies, <a href=\"https://www.kaggle.com/wesamelshamy/image-feature-extraction-and-matching-for-newbies\">https://www.kaggle.com/wesamelshamy/image-feature-extraction-and-matching-for-newbies</a>  </li>\n<li>Extract Image features from pretrained NN, <a href=\"https://www.kaggle.com/christofhenkel/extract-image-features-from-pretrained-nn\">https://www.kaggle.com/christofhenkel/extract-image-features-from-pretrained-nn</a>  </li>\n<li>ADVANCED IMAGE FEATURES EXTRACTION, <a href=\"https://www.kaggle.com/khahuras/advanced-image-features-extraction\">https://www.kaggle.com/khahuras/advanced-image-features-extraction</a>   </li>\n<li>Face Recognition on Olivetti Dataset, <a href=\"https://www.kaggle.com/serkanpeldek/face-recognition-on-olivetti-dataset\">https://www.kaggle.com/serkanpeldek/face-recognition-on-olivetti-dataset</a>  </li>\n<li>Basic EDA Face Detection, split video and ROI, <a href=\"https://www.kaggle.com/marcovasquez/basic-eda-face-detection-split-video-and-roi\">https://www.kaggle.com/marcovasquez/basic-eda-face-detection-split-video-and-roi</a>  </li>\n</ol>\n\n<h2>Datasets</h2>\n\n<ol>\n<li>Haar Cascades for Face Detection, <a href=\"https://www.kaggle.com/gpreda/haar-cascades-for-face-detection\">https://www.kaggle.com/gpreda/haar-cascades-for-face-detection</a>  </li>\n<li>Real and Fake Face Detection, <a href=\"https://www.kaggle.com/ciplab/real-and-fake-face-detection\">https://www.kaggle.com/ciplab/real-and-fake-face-detection</a>  </li>\n<li>CelebFaces Attributes (CelebA) Dataset, <a href=\"https://www.kaggle.com/jessicali9530/celeba-dataset\">https://www.kaggle.com/jessicali9530/celeba-dataset</a>  </li>\n<li>YouTube Faces With Facial Keypoints, <a href=\"https://www.kaggle.com/selfishgene/youtube-faces-with-facial-keypoints\">https://www.kaggle.com/selfishgene/youtube-faces-with-facial-keypoints</a>  </li>\n<li>1 Million Fake Faces - 1, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces\">https://www.kaggle.com/tunguz/1-million-fake-faces</a>   </li>\n<li>1 Million Fake Faces - 2, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces-2\">https://www.kaggle.com/tunguz/1-million-fake-faces-2</a>    </li>\n<li>1 Million Fake Faces - 3, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces-3\">https://www.kaggle.com/tunguz/1-million-fake-faces-3</a>   </li>\n<li>1 Million Fake Faces - 4, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces-4\">https://www.kaggle.com/tunguz/1-million-fake-faces-4</a>     </li>\n<li>1 Million Fake Faces - 5, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces-5\">https://www.kaggle.com/tunguz/1-million-fake-faces-5</a>    </li>\n<li>1 Million Fake Faces - 6, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces-6\">https://www.kaggle.com/tunguz/1-million-fake-faces-6</a>    </li>\n<li>1 Million Fake Faces - 7, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces-7\">https://www.kaggle.com/tunguz/1-million-fake-faces-7</a>    </li>\n<li>Olivetti Faces, <a href=\"https://www.kaggle.com/sahilyagnik/olivetti-faces\">https://www.kaggle.com/sahilyagnik/olivetti-faces</a>  </li>\n<li>Labelled Faces in the Wild (LFW) Dataset, Over 13,000 images of faces collected from the web, <a href=\"https://www.kaggle.com/jessicali9530/lfw-dataset\">https://www.kaggle.com/jessicali9530/lfw-dataset</a>  </li>\n<li>Yaniv Taigman, Lior Wolf and Tal Hassner, Labeled Faces in the Wild aligned (LFW-a), <a href=\"http://academictorrents.com/details/403e6d6945a64dd1b9e185a6cd8d029274efccdc\">http://academictorrents.com/details/403e6d6945a64dd1b9e185a6cd8d029274efccdc</a></li>\n</ol>",
  "messages": [
    {
      "id": "748269",
      "postDate": "02/17/2020 10:35:43",
      "content": "<p>Here I list some interesting Kernels &amp; Datasets for image features extraction and fake detection.</p>\n\n<h2>Kernels</h2>\n\n<ol>\n<li>[Tutorial] Image Feature Extraction and Matching, <a href=\"https://www.kaggle.com/wesamelshamy/tutorial-image-feature-extraction-and-matching\">https://www.kaggle.com/wesamelshamy/tutorial-image-feature-extraction-and-matching</a>    </li>\n<li>Image Feature Extraction and Matching for Newbies, <a href=\"https://www.kaggle.com/wesamelshamy/image-feature-extraction-and-matching-for-newbies\">https://www.kaggle.com/wesamelshamy/image-feature-extraction-and-matching-for-newbies</a>  </li>\n<li>Extract Image features from pretrained NN, <a href=\"https://www.kaggle.com/christofhenkel/extract-image-features-from-pretrained-nn\">https://www.kaggle.com/christofhenkel/extract-image-features-from-pretrained-nn</a>  </li>\n<li>ADVANCED IMAGE FEATURES EXTRACTION, <a href=\"https://www.kaggle.com/khahuras/advanced-image-features-extraction\">https://www.kaggle.com/khahuras/advanced-image-features-extraction</a>   </li>\n<li>Face Recognition on Olivetti Dataset, <a href=\"https://www.kaggle.com/serkanpeldek/face-recognition-on-olivetti-dataset\">https://www.kaggle.com/serkanpeldek/face-recognition-on-olivetti-dataset</a>  </li>\n<li>Basic EDA Face Detection, split video and ROI, <a href=\"https://www.kaggle.com/marcovasquez/basic-eda-face-detection-split-video-and-roi\">https://www.kaggle.com/marcovasquez/basic-eda-face-detection-split-video-and-roi</a>  </li>\n</ol>\n\n<h2>Datasets</h2>\n\n<ol>\n<li>Haar Cascades for Face Detection, <a href=\"https://www.kaggle.com/gpreda/haar-cascades-for-face-detection\">https://www.kaggle.com/gpreda/haar-cascades-for-face-detection</a>  </li>\n<li>Real and Fake Face Detection, <a href=\"https://www.kaggle.com/ciplab/real-and-fake-face-detection\">https://www.kaggle.com/ciplab/real-and-fake-face-detection</a>  </li>\n<li>CelebFaces Attributes (CelebA) Dataset, <a href=\"https://www.kaggle.com/jessicali9530/celeba-dataset\">https://www.kaggle.com/jessicali9530/celeba-dataset</a>  </li>\n<li>YouTube Faces With Facial Keypoints, <a href=\"https://www.kaggle.com/selfishgene/youtube-faces-with-facial-keypoints\">https://www.kaggle.com/selfishgene/youtube-faces-with-facial-keypoints</a>  </li>\n<li>1 Million Fake Faces - 1, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces\">https://www.kaggle.com/tunguz/1-million-fake-faces</a>   </li>\n<li>1 Million Fake Faces - 2, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces-2\">https://www.kaggle.com/tunguz/1-million-fake-faces-2</a>    </li>\n<li>1 Million Fake Faces - 3, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces-3\">https://www.kaggle.com/tunguz/1-million-fake-faces-3</a>   </li>\n<li>1 Million Fake Faces - 4, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces-4\">https://www.kaggle.com/tunguz/1-million-fake-faces-4</a>     </li>\n<li>1 Million Fake Faces - 5, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces-5\">https://www.kaggle.com/tunguz/1-million-fake-faces-5</a>    </li>\n<li>1 Million Fake Faces - 6, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces-6\">https://www.kaggle.com/tunguz/1-million-fake-faces-6</a>    </li>\n<li>1 Million Fake Faces - 7, <a href=\"https://www.kaggle.com/tunguz/1-million-fake-faces-7\">https://www.kaggle.com/tunguz/1-million-fake-faces-7</a>    </li>\n<li>Olivetti Faces, <a href=\"https://www.kaggle.com/sahilyagnik/olivetti-faces\">https://www.kaggle.com/sahilyagnik/olivetti-faces</a>  </li>\n<li>Labelled Faces in the Wild (LFW) Dataset, Over 13,000 images of faces collected from the web, <a href=\"https://www.kaggle.com/jessicali9530/lfw-dataset\">https://www.kaggle.com/jessicali9530/lfw-dataset</a>  </li>\n<li>Yaniv Taigman, Lior Wolf and Tal Hassner, Labeled Faces in the Wild aligned (LFW-a), <a href=\"http://academictorrents.com/details/403e6d6945a64dd1b9e185a6cd8d029274efccdc\">http://academictorrents.com/details/403e6d6945a64dd1b9e185a6cd8d029274efccdc</a></li>\n</ol>",
      "rawMarkdown": "Here I list some interesting Kernels &amp; Datasets for image features extraction and fake detection.\n\n## Kernels\n\n1. [Tutorial] Image Feature Extraction and Matching, https://www.kaggle.com/wesamelshamy/tutorial-image-feature-extraction-and-matching    \n2. Image Feature Extraction and Matching for Newbies, https://www.kaggle.com/wesamelshamy/image-feature-extraction-and-matching-for-newbies  \n3. Extract Image features from pretrained NN, https://www.kaggle.com/christofhenkel/extract-image-features-from-pretrained-nn  \n4. ADVANCED IMAGE FEATURES EXTRACTION, https://www.kaggle.com/khahuras/advanced-image-features-extraction   \n5. Face Recognition on Olivetti Dataset, https://www.kaggle.com/serkanpeldek/face-recognition-on-olivetti-dataset  \n6. Basic EDA Face Detection, split video and ROI, https://www.kaggle.com/marcovasquez/basic-eda-face-detection-split-video-and-roi  \n\n\n## Datasets\n\n1. Haar Cascades for Face Detection, https://www.kaggle.com/gpreda/haar-cascades-for-face-detection  \n2. Real and Fake Face Detection, https://www.kaggle.com/ciplab/real-and-fake-face-detection  \n3. CelebFaces Attributes (CelebA) Dataset, https://www.kaggle.com/jessicali9530/celeba-dataset  \n4. YouTube Faces With Facial Keypoints, https://www.kaggle.com/selfishgene/youtube-faces-with-facial-keypoints  \n5.  1 Million Fake Faces - 1, https://www.kaggle.com/tunguz/1-million-fake-faces   \n6. 1 Million Fake Faces - 2, https://www.kaggle.com/tunguz/1-million-fake-faces-2    \n7. 1 Million Fake Faces - 3, https://www.kaggle.com/tunguz/1-million-fake-faces-3   \n8. 1 Million Fake Faces - 4, https://www.kaggle.com/tunguz/1-million-fake-faces-4     \n9. 1 Million Fake Faces - 5, https://www.kaggle.com/tunguz/1-million-fake-faces-5    \n10. 1 Million Fake Faces - 6, https://www.kaggle.com/tunguz/1-million-fake-faces-6    \n11. 1 Million Fake Faces - 7, https://www.kaggle.com/tunguz/1-million-fake-faces-7    \n12. Olivetti Faces, https://www.kaggle.com/sahilyagnik/olivetti-faces  \n13. Labelled Faces in the Wild (LFW) Dataset, Over 13,000 images of faces collected from the web, https://www.kaggle.com/jessicali9530/lfw-dataset  \n14. Yaniv Taigman, Lior Wolf and Tal Hassner, Labeled Faces in the Wild aligned (LFW-a), http://academictorrents.com/details/403e6d6945a64dd1b9e185a6cd8d029274efccdc",
      "votes": null
    },
    {
      "id": "749044",
      "postDate": "02/18/2020 08:16:57",
      "content": "<p>Thanks for Sharing!!</p>",
      "rawMarkdown": "Thanks for Sharing!!",
      "votes": null
    },
    {
      "id": "752566",
      "postDate": "02/21/2020 07:00:36",
      "content": "<p>Thank you for sharing this !🤘 </p>",
      "rawMarkdown": "Thank you for sharing this !🤘",
      "votes": null
    },
    {
      "id": "762414",
      "postDate": "03/03/2020 13:50:38",
      "content": "<p>Great work !</p>",
      "rawMarkdown": "Great work !",
      "votes": null
    },
    {
      "id": "932553",
      "postDate": "07/17/2020 06:23:30",
      "content": "<p>Great work thanks for sharing</p>",
      "rawMarkdown": "Great work thanks for sharing",
      "votes": null
    },
    {
      "id": "1023218",
      "postDate": "09/23/2020 03:31:32",
      "content": "<p>Thanks for sharing this!</p>",
      "rawMarkdown": "Thanks for sharing this!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1023218,
      "author_name": "",
      "author_url": "",
      "post_date": "09/23/2020 03:31:32",
      "content": "<p>Thanks for sharing this!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 749044,
      "author_name": "aravindhkv123",
      "author_url": "",
      "post_date": "02/18/2020 08:16:57",
      "content": "<p>Thanks for Sharing!!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 752566,
      "author_name": "pramod265",
      "author_url": "",
      "post_date": "02/21/2020 07:00:36",
      "content": "<p>Thank you for sharing this !🤘 </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 762414,
      "author_name": "",
      "author_url": "",
      "post_date": "03/03/2020 13:50:38",
      "content": "<p>Great work !</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 932553,
      "author_name": "abhijeetbhilare",
      "author_url": "",
      "post_date": "07/17/2020 06:23:30",
      "content": "<p>Great work thanks for sharing</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "748269": "Here I list some interesting Kernels &amp; Datasets for image features extraction and fake detection.\n\n## Kernels\n\n1. [Tutorial] Image Feature Extraction and Matching, https://www.kaggle.com/wesamelshamy/tutorial-image-feature-extraction-and-matching    \n2. Image Feature Extraction and Matching for Newbies, https://www.kaggle.com/wesamelshamy/image-feature-extraction-and-matching-for-newbies  \n3. Extract Image features from pretrained NN, https://www.kaggle.com/christofhenkel/extract-image-features-from-pretrained-nn  \n4. ADVANCED IMAGE FEATURES EXTRACTION, https://www.kaggle.com/khahuras/advanced-image-features-extraction   \n5. Face Recognition on Olivetti Dataset, https://www.kaggle.com/serkanpeldek/face-recognition-on-olivetti-dataset  \n6. Basic EDA Face Detection, split video and ROI, https://www.kaggle.com/marcovasquez/basic-eda-face-detection-split-video-and-roi  \n\n\n## Datasets\n\n1. Haar Cascades for Face Detection, https://www.kaggle.com/gpreda/haar-cascades-for-face-detection  \n2. Real and Fake Face Detection, https://www.kaggle.com/ciplab/real-and-fake-face-detection  \n3. CelebFaces Attributes (CelebA) Dataset, https://www.kaggle.com/jessicali9530/celeba-dataset  \n4. YouTube Faces With Facial Keypoints, https://www.kaggle.com/selfishgene/youtube-faces-with-facial-keypoints  \n5.  1 Million Fake Faces - 1, https://www.kaggle.com/tunguz/1-million-fake-faces   \n6. 1 Million Fake Faces - 2, https://www.kaggle.com/tunguz/1-million-fake-faces-2    \n7. 1 Million Fake Faces - 3, https://www.kaggle.com/tunguz/1-million-fake-faces-3   \n8. 1 Million Fake Faces - 4, https://www.kaggle.com/tunguz/1-million-fake-faces-4     \n9. 1 Million Fake Faces - 5, https://www.kaggle.com/tunguz/1-million-fake-faces-5    \n10. 1 Million Fake Faces - 6, https://www.kaggle.com/tunguz/1-million-fake-faces-6    \n11. 1 Million Fake Faces - 7, https://www.kaggle.com/tunguz/1-million-fake-faces-7    \n12. Olivetti Faces, https://www.kaggle.com/sahilyagnik/olivetti-faces  \n13. Labelled Faces in the Wild (LFW) Dataset, Over 13,000 images of faces collected from the web, https://www.kaggle.com/jessicali9530/lfw-dataset  \n14. Yaniv Taigman, Lior Wolf and Tal Hassner, Labeled Faces in the Wild aligned (LFW-a), http://academictorrents.com/details/403e6d6945a64dd1b9e185a6cd8d029274efccdc",
    "749044": "Thanks for Sharing!!",
    "752566": "Thank you for sharing this !🤘",
    "762414": "Great work !",
    "932553": "Great work thanks for sharing",
    "1023218": "Thanks for sharing this!"
  },
  "source": "meta"
}