{
  "id": 229851,
  "title": "104 pairs of duplicates",
  "url": "/competitions/plant-pathology-2021-fgvc8/discussion/229851",
  "author_name": "",
  "post_date": "2021-04-01T05:09:52.713914400Z",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I found that there are 104 pairs of duplicates in the dataset using <a href=\"http://www.hackerfactor.com/blog/index.php?/archives/432-Looks-Like-It.html\" target=\"_blank\">perceptual hashing</a></p>\n<p>I have used <code>Imagededup</code> package for this purpose.</p>\n<p>You can get the embeddings from here: <a href=\"https://drive.google.com/file/d/1ouyNLkUJkKMJJonZQ0V40bM8MlBlmngL/view?usp=sharing\" target=\"_blank\">LINK</a></p>",
  "messages": [
    {
      "id": "1259023",
      "postDate": "04/01/2021 05:09:52",
      "content": "<p>I found that there are 104 pairs of duplicates in the dataset using <a href=\"http://www.hackerfactor.com/blog/index.php?/archives/432-Looks-Like-It.html\" target=\"_blank\">perceptual hashing</a></p>\n<p>I have used <code>Imagededup</code> package for this purpose.</p>\n<p>You can get the embeddings from here: <a href=\"https://drive.google.com/file/d/1ouyNLkUJkKMJJonZQ0V40bM8MlBlmngL/view?usp=sharing\" target=\"_blank\">LINK</a></p>",
      "rawMarkdown": "I found that there are 104 pairs of duplicates in the dataset using [perceptual hashing](http://www.hackerfactor.com/blog/index.php?/archives/432-Looks-Like-It.html)\n\nI have used `Imagededup` package for this purpose.\n\nYou can get the embeddings from here: [LINK](https://drive.google.com/file/d/1ouyNLkUJkKMJJonZQ0V40bM8MlBlmngL/view?usp=sharing)",
      "votes": null
    },
    {
      "id": "1263789",
      "postDate": "04/05/2021 17:13:31",
      "content": "<p>Hello!</p>\n<p>Please, carefully look through your duplicates once again, because nearly half of them (50 pairs to be precise) <strong>aren't duplicates at all</strong>, e.g.:<br>\n<img src=\"https://drive.google.com/uc?id=1O3Ra6ui_lkc-yW98n-6fxvRg4d4anFho\"><br>\n<img src=\"https://drive.google.com/uc?id=1BK8-RyRh2GTnyhZqpXnFg0XT32FhhZdN\"></p>\n<p>To avoid this mismatching you can use an average of different types of hash (not just perceptual) and tuning the threshold. For now, the <em>true</em> duplicates are:</p>\n<pre><code>duplicates = (\n('e7ecc583d571d202.jpg', 'a3bb604d8a55995d.jpg'),\n('f7d233d11aa8496c.jpg', '94b42695f24dad36.jpg'),\n('9886c704f93a79b3.jpg', '98864714f96a75d5.jpg'),\n('9fc321ce60a69f0b.jpg', '86f963a16e70345e.jpg'),\n('b5ec52491e3349ce.jpg', 'a7e613159fb22859.jpg'),\n('b7b0edd58a858217.jpg', 'ba99260ef46b18cb.jpg'),\n('aa0e969518e15d3f.jpg', 'bb1891fa8c61e663.jpg'),\n('ebd19f9c549a12d0.jpg', 'ebd19f1c549a1ad0.jpg'),\n('f0cb859beb1b30c1.jpg', 'f0cb879e4a1b35c1.jpg'),\n('e9c39fa809c7341d.jpg', 'e1e39f8809c7349d.jpg'),\n('83e3d2369933c5d2.jpg', '83e3d2329933c5f2.jpg'),\n('e11be7f110de8f80.jpg', 'e13be7f1105e8f80.jpg'),\n('ab83c0d147c3db66.jpg', 'ab83c05147c3cfe6.jpg'),\n('e90e1acab7e5aa50.jpg', 'e90e1ac8b7e7aa50.jpg'),\n('d89c9cda9274322f.jpg', 'd89d9ede82743229.jpg'),\n('f4cba4a7294d6585.jpg', 'd64460a3b19f1cfc.jpg'),\n('f6f11e0fe38a08c5.jpg', 'f6f1160be38a48d5.jpg'),\n('cdf892b5b4865859.jpg', '82ba3e933947b097.jpg'),\n('bd8088cdad5f65e0.jpg', 'f90738a0d2f2c1db.jpg'),\n('dfcc6b28063a88fc.jpg', 'dfc86b180e3ac8f8.jpg'),\n('ae5074cfc9183763.jpg', '965295a64a97859f.jpg'),\n('c1a56069de75b899.jpg', 'f2c798246a0a9bdd.jpg'),\n('ca782c131f5ce0fc.jpg', 'e5f27342ce1cb9a0.jpg'),\n('9ada65c5b0cc9a3c.jpg', 'e9e8ad35c5871d06.jpg'),\n('a8e895f5aa54d2a5.jpg', 'a8e895e5aad453a5.jpg'),\n('dea33c5c0347aa4d.jpg', 'd3945c098edc9dd1.jpg'),\n('d70f6330fb5a090d.jpg', 'd70f2230fb5a093d.jpg'),\n('9fad869f21b5b240.jpg', 'd7ec32d72c84dc18.jpg'),\n('85897ea7f064b26a.jpg', 'ec83c7c04a1e9db9.jpg'),\n('aa142048eff78bf4.jpg', 'aa542048ebf78bf4.jpg'),\n('c738d13e7146798c.jpg', 'c738d13e73467988.jpg'),\n('8f5263c61a8cdbe2.jpg', 'c9d63696629107ed.jpg'),\n('c1753cad2f31d492.jpg', 'd2266ac99461e9db.jpg'),\n('e22e9a365cd1ea58.jpg', 'e22e8a365cd1ea5c.jpg'),\n('e8bd8ac4d982dd83.jpg', 'e8a58ad4d9829f33.jpg'),\n('e8210ddefc024fec.jpg', 'e8212ddeec024fec.jpg'),\n('e83f715e56462a31.jpg', 'd0c766bc38e1978c.jpg'),\n('df90901ccb664de6.jpg', '8c0731fff680c51e.jpg'),\n('e586c25e0f1c3c79.jpg', 'e787c35e0f0c34e8.jpg'),\n('c5339e87235c6ac5.jpg', 'c53b9e87215c6ac5.jpg'),\n('90f99ee1c1132bb6.jpg', '94c83b2d5fad6924.jpg'),\n('949b6595a5b8ca3c.jpg', '848d9f9e82d18e5e.jpg'),\n('a9b2e4b09297bc2b.jpg', 'd1f01e8d8a73274d.jpg'),\n('eec64e8cf1c8d0c6.jpg', 'e51690d8ad307dcb.jpg'),\n('cc73e025cc36d31e.jpg', 'cc73e005cc36f31e.jpg'),\n('b80898e11fa17f1f.jpg', 'b80898e11f81ff1f.jpg'),\n('ab91d1a9d4b49a6c.jpg', 'abb0d5a9d4b4985c.jpg'),\n('d2d9c2bca7a72458.jpg', 'd1dec0973c2cf4a1.jpg'),\n('dbee22785d9285c4.jpg', 'c5aff2e545d0a129.jpg'),\n('f3dc17a2b20d48ec.jpg', '90a5341f227ce5f9.jpg'),\n('8dbeda49894d522e.jpg', 'afbe5641896d522a.jpg'),\n('af6292db1b611d98.jpg', 'a56292dadb618d95.jpg'),\n('abf0b5a0df028b17.jpg', 'abf0b5819f028f0f.jpg'),\n('e385830ecacd2d9e.jpg', 'c335971e8acd609e.jpg'),\n('cebdc20f67838631.jpg', 'dfbdc047068b063d.jpg'),\n('f392f11919991cea.jpg', 'f196f11a99d91ce0.jpg')\n)\n</code></pre>",
      "rawMarkdown": "Hello!\n\nPlease, carefully look through your duplicates once again, because nearly half of them (50 pairs to be precise) **aren't duplicates at all**, e.g.:\n<img src='https://drive.google.com/uc?id=1O3Ra6ui_lkc-yW98n-6fxvRg4d4anFho' />\n<img src='https://drive.google.com/uc?id=1BK8-RyRh2GTnyhZqpXnFg0XT32FhhZdN' />\n\nTo avoid this mismatching you can use an average of different types of hash (not just perceptual) and tuning the threshold. For now, the *true* duplicates are:\n```\nduplicates = (\n('e7ecc583d571d202.jpg', 'a3bb604d8a55995d.jpg'),\n('f7d233d11aa8496c.jpg', '94b42695f24dad36.jpg'),\n('9886c704f93a79b3.jpg', '98864714f96a75d5.jpg'),\n('9fc321ce60a69f0b.jpg', '86f963a16e70345e.jpg'),\n('b5ec52491e3349ce.jpg', 'a7e613159fb22859.jpg'),\n('b7b0edd58a858217.jpg', 'ba99260ef46b18cb.jpg'),\n('aa0e969518e15d3f.jpg', 'bb1891fa8c61e663.jpg'),\n('ebd19f9c549a12d0.jpg', 'ebd19f1c549a1ad0.jpg'),\n('f0cb859beb1b30c1.jpg', 'f0cb879e4a1b35c1.jpg'),\n('e9c39fa809c7341d.jpg', 'e1e39f8809c7349d.jpg'),\n('83e3d2369933c5d2.jpg', '83e3d2329933c5f2.jpg'),\n('e11be7f110de8f80.jpg', 'e13be7f1105e8f80.jpg'),\n('ab83c0d147c3db66.jpg', 'ab83c05147c3cfe6.jpg'),\n('e90e1acab7e5aa50.jpg', 'e90e1ac8b7e7aa50.jpg'),\n('d89c9cda9274322f.jpg', 'd89d9ede82743229.jpg'),\n('f4cba4a7294d6585.jpg', 'd64460a3b19f1cfc.jpg'),\n('f6f11e0fe38a08c5.jpg', 'f6f1160be38a48d5.jpg'),\n('cdf892b5b4865859.jpg', '82ba3e933947b097.jpg'),\n('bd8088cdad5f65e0.jpg', 'f90738a0d2f2c1db.jpg'),\n('dfcc6b28063a88fc.jpg', 'dfc86b180e3ac8f8.jpg'),\n('ae5074cfc9183763.jpg', '965295a64a97859f.jpg'),\n('c1a56069de75b899.jpg', 'f2c798246a0a9bdd.jpg'),\n('ca782c131f5ce0fc.jpg', 'e5f27342ce1cb9a0.jpg'),\n('9ada65c5b0cc9a3c.jpg', 'e9e8ad35c5871d06.jpg'),\n('a8e895f5aa54d2a5.jpg', 'a8e895e5aad453a5.jpg'),\n('dea33c5c0347aa4d.jpg', 'd3945c098edc9dd1.jpg'),\n('d70f6330fb5a090d.jpg', 'd70f2230fb5a093d.jpg'),\n('9fad869f21b5b240.jpg', 'd7ec32d72c84dc18.jpg'),\n('85897ea7f064b26a.jpg', 'ec83c7c04a1e9db9.jpg'),\n('aa142048eff78bf4.jpg', 'aa542048ebf78bf4.jpg'),\n('c738d13e7146798c.jpg', 'c738d13e73467988.jpg'),\n('8f5263c61a8cdbe2.jpg', 'c9d63696629107ed.jpg'),\n('c1753cad2f31d492.jpg', 'd2266ac99461e9db.jpg'),\n('e22e9a365cd1ea58.jpg', 'e22e8a365cd1ea5c.jpg'),\n('e8bd8ac4d982dd83.jpg', 'e8a58ad4d9829f33.jpg'),\n('e8210ddefc024fec.jpg', 'e8212ddeec024fec.jpg'),\n('e83f715e56462a31.jpg', 'd0c766bc38e1978c.jpg'),\n('df90901ccb664de6.jpg', '8c0731fff680c51e.jpg'),\n('e586c25e0f1c3c79.jpg', 'e787c35e0f0c34e8.jpg'),\n('c5339e87235c6ac5.jpg', 'c53b9e87215c6ac5.jpg'),\n('90f99ee1c1132bb6.jpg', '94c83b2d5fad6924.jpg'),\n('949b6595a5b8ca3c.jpg', '848d9f9e82d18e5e.jpg'),\n('a9b2e4b09297bc2b.jpg', 'd1f01e8d8a73274d.jpg'),\n('eec64e8cf1c8d0c6.jpg', 'e51690d8ad307dcb.jpg'),\n('cc73e025cc36d31e.jpg', 'cc73e005cc36f31e.jpg'),\n('b80898e11fa17f1f.jpg', 'b80898e11f81ff1f.jpg'),\n('ab91d1a9d4b49a6c.jpg', 'abb0d5a9d4b4985c.jpg'),\n('d2d9c2bca7a72458.jpg', 'd1dec0973c2cf4a1.jpg'),\n('dbee22785d9285c4.jpg', 'c5aff2e545d0a129.jpg'),\n('f3dc17a2b20d48ec.jpg', '90a5341f227ce5f9.jpg'),\n('8dbeda49894d522e.jpg', 'afbe5641896d522a.jpg'),\n('af6292db1b611d98.jpg', 'a56292dadb618d95.jpg'),\n('abf0b5a0df028b17.jpg', 'abf0b5819f028f0f.jpg'),\n('e385830ecacd2d9e.jpg', 'c335971e8acd609e.jpg'),\n('cebdc20f67838631.jpg', 'dfbdc047068b063d.jpg'),\n('f392f11919991cea.jpg', 'f196f11a99d91ce0.jpg')\n)\n```",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1263789,
      "author_name": "nickuzmenkov",
      "author_url": "",
      "post_date": "04/05/2021 17:13:31",
      "content": "<p>Hello!</p>\n<p>Please, carefully look through your duplicates once again, because nearly half of them (50 pairs to be precise) <strong>aren't duplicates at all</strong>, e.g.:<br>\n<img src=\"https://drive.google.com/uc?id=1O3Ra6ui_lkc-yW98n-6fxvRg4d4anFho\"><br>\n<img src=\"https://drive.google.com/uc?id=1BK8-RyRh2GTnyhZqpXnFg0XT32FhhZdN\"></p>\n<p>To avoid this mismatching you can use an average of different types of hash (not just perceptual) and tuning the threshold. For now, the <em>true</em> duplicates are:</p>\n<pre><code>duplicates = (\n('e7ecc583d571d202.jpg', 'a3bb604d8a55995d.jpg'),\n('f7d233d11aa8496c.jpg', '94b42695f24dad36.jpg'),\n('9886c704f93a79b3.jpg', '98864714f96a75d5.jpg'),\n('9fc321ce60a69f0b.jpg', '86f963a16e70345e.jpg'),\n('b5ec52491e3349ce.jpg', 'a7e613159fb22859.jpg'),\n('b7b0edd58a858217.jpg', 'ba99260ef46b18cb.jpg'),\n('aa0e969518e15d3f.jpg', 'bb1891fa8c61e663.jpg'),\n('ebd19f9c549a12d0.jpg', 'ebd19f1c549a1ad0.jpg'),\n('f0cb859beb1b30c1.jpg', 'f0cb879e4a1b35c1.jpg'),\n('e9c39fa809c7341d.jpg', 'e1e39f8809c7349d.jpg'),\n('83e3d2369933c5d2.jpg', '83e3d2329933c5f2.jpg'),\n('e11be7f110de8f80.jpg', 'e13be7f1105e8f80.jpg'),\n('ab83c0d147c3db66.jpg', 'ab83c05147c3cfe6.jpg'),\n('e90e1acab7e5aa50.jpg', 'e90e1ac8b7e7aa50.jpg'),\n('d89c9cda9274322f.jpg', 'd89d9ede82743229.jpg'),\n('f4cba4a7294d6585.jpg', 'd64460a3b19f1cfc.jpg'),\n('f6f11e0fe38a08c5.jpg', 'f6f1160be38a48d5.jpg'),\n('cdf892b5b4865859.jpg', '82ba3e933947b097.jpg'),\n('bd8088cdad5f65e0.jpg', 'f90738a0d2f2c1db.jpg'),\n('dfcc6b28063a88fc.jpg', 'dfc86b180e3ac8f8.jpg'),\n('ae5074cfc9183763.jpg', '965295a64a97859f.jpg'),\n('c1a56069de75b899.jpg', 'f2c798246a0a9bdd.jpg'),\n('ca782c131f5ce0fc.jpg', 'e5f27342ce1cb9a0.jpg'),\n('9ada65c5b0cc9a3c.jpg', 'e9e8ad35c5871d06.jpg'),\n('a8e895f5aa54d2a5.jpg', 'a8e895e5aad453a5.jpg'),\n('dea33c5c0347aa4d.jpg', 'd3945c098edc9dd1.jpg'),\n('d70f6330fb5a090d.jpg', 'd70f2230fb5a093d.jpg'),\n('9fad869f21b5b240.jpg', 'd7ec32d72c84dc18.jpg'),\n('85897ea7f064b26a.jpg', 'ec83c7c04a1e9db9.jpg'),\n('aa142048eff78bf4.jpg', 'aa542048ebf78bf4.jpg'),\n('c738d13e7146798c.jpg', 'c738d13e73467988.jpg'),\n('8f5263c61a8cdbe2.jpg', 'c9d63696629107ed.jpg'),\n('c1753cad2f31d492.jpg', 'd2266ac99461e9db.jpg'),\n('e22e9a365cd1ea58.jpg', 'e22e8a365cd1ea5c.jpg'),\n('e8bd8ac4d982dd83.jpg', 'e8a58ad4d9829f33.jpg'),\n('e8210ddefc024fec.jpg', 'e8212ddeec024fec.jpg'),\n('e83f715e56462a31.jpg', 'd0c766bc38e1978c.jpg'),\n('df90901ccb664de6.jpg', '8c0731fff680c51e.jpg'),\n('e586c25e0f1c3c79.jpg', 'e787c35e0f0c34e8.jpg'),\n('c5339e87235c6ac5.jpg', 'c53b9e87215c6ac5.jpg'),\n('90f99ee1c1132bb6.jpg', '94c83b2d5fad6924.jpg'),\n('949b6595a5b8ca3c.jpg', '848d9f9e82d18e5e.jpg'),\n('a9b2e4b09297bc2b.jpg', 'd1f01e8d8a73274d.jpg'),\n('eec64e8cf1c8d0c6.jpg', 'e51690d8ad307dcb.jpg'),\n('cc73e025cc36d31e.jpg', 'cc73e005cc36f31e.jpg'),\n('b80898e11fa17f1f.jpg', 'b80898e11f81ff1f.jpg'),\n('ab91d1a9d4b49a6c.jpg', 'abb0d5a9d4b4985c.jpg'),\n('d2d9c2bca7a72458.jpg', 'd1dec0973c2cf4a1.jpg'),\n('dbee22785d9285c4.jpg', 'c5aff2e545d0a129.jpg'),\n('f3dc17a2b20d48ec.jpg', '90a5341f227ce5f9.jpg'),\n('8dbeda49894d522e.jpg', 'afbe5641896d522a.jpg'),\n('af6292db1b611d98.jpg', 'a56292dadb618d95.jpg'),\n('abf0b5a0df028b17.jpg', 'abf0b5819f028f0f.jpg'),\n('e385830ecacd2d9e.jpg', 'c335971e8acd609e.jpg'),\n('cebdc20f67838631.jpg', 'dfbdc047068b063d.jpg'),\n('f392f11919991cea.jpg', 'f196f11a99d91ce0.jpg')\n)\n</code></pre>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1259023": "I found that there are 104 pairs of duplicates in the dataset using [perceptual hashing](http://www.hackerfactor.com/blog/index.php?/archives/432-Looks-Like-It.html)\n\nI have used `Imagededup` package for this purpose.\n\nYou can get the embeddings from here: [LINK](https://drive.google.com/file/d/1ouyNLkUJkKMJJonZQ0V40bM8MlBlmngL/view?usp=sharing)",
    "1263789": "Hello!\n\nPlease, carefully look through your duplicates once again, because nearly half of them (50 pairs to be precise) **aren't duplicates at all**, e.g.:\n<img src='https://drive.google.com/uc?id=1O3Ra6ui_lkc-yW98n-6fxvRg4d4anFho' />\n<img src='https://drive.google.com/uc?id=1BK8-RyRh2GTnyhZqpXnFg0XT32FhhZdN' />\n\nTo avoid this mismatching you can use an average of different types of hash (not just perceptual) and tuning the threshold. For now, the *true* duplicates are:\n```\nduplicates = (\n('e7ecc583d571d202.jpg', 'a3bb604d8a55995d.jpg'),\n('f7d233d11aa8496c.jpg', '94b42695f24dad36.jpg'),\n('9886c704f93a79b3.jpg', '98864714f96a75d5.jpg'),\n('9fc321ce60a69f0b.jpg', '86f963a16e70345e.jpg'),\n('b5ec52491e3349ce.jpg', 'a7e613159fb22859.jpg'),\n('b7b0edd58a858217.jpg', 'ba99260ef46b18cb.jpg'),\n('aa0e969518e15d3f.jpg', 'bb1891fa8c61e663.jpg'),\n('ebd19f9c549a12d0.jpg', 'ebd19f1c549a1ad0.jpg'),\n('f0cb859beb1b30c1.jpg', 'f0cb879e4a1b35c1.jpg'),\n('e9c39fa809c7341d.jpg', 'e1e39f8809c7349d.jpg'),\n('83e3d2369933c5d2.jpg', '83e3d2329933c5f2.jpg'),\n('e11be7f110de8f80.jpg', 'e13be7f1105e8f80.jpg'),\n('ab83c0d147c3db66.jpg', 'ab83c05147c3cfe6.jpg'),\n('e90e1acab7e5aa50.jpg', 'e90e1ac8b7e7aa50.jpg'),\n('d89c9cda9274322f.jpg', 'd89d9ede82743229.jpg'),\n('f4cba4a7294d6585.jpg', 'd64460a3b19f1cfc.jpg'),\n('f6f11e0fe38a08c5.jpg', 'f6f1160be38a48d5.jpg'),\n('cdf892b5b4865859.jpg', '82ba3e933947b097.jpg'),\n('bd8088cdad5f65e0.jpg', 'f90738a0d2f2c1db.jpg'),\n('dfcc6b28063a88fc.jpg', 'dfc86b180e3ac8f8.jpg'),\n('ae5074cfc9183763.jpg', '965295a64a97859f.jpg'),\n('c1a56069de75b899.jpg', 'f2c798246a0a9bdd.jpg'),\n('ca782c131f5ce0fc.jpg', 'e5f27342ce1cb9a0.jpg'),\n('9ada65c5b0cc9a3c.jpg', 'e9e8ad35c5871d06.jpg'),\n('a8e895f5aa54d2a5.jpg', 'a8e895e5aad453a5.jpg'),\n('dea33c5c0347aa4d.jpg', 'd3945c098edc9dd1.jpg'),\n('d70f6330fb5a090d.jpg', 'd70f2230fb5a093d.jpg'),\n('9fad869f21b5b240.jpg', 'd7ec32d72c84dc18.jpg'),\n('85897ea7f064b26a.jpg', 'ec83c7c04a1e9db9.jpg'),\n('aa142048eff78bf4.jpg', 'aa542048ebf78bf4.jpg'),\n('c738d13e7146798c.jpg', 'c738d13e73467988.jpg'),\n('8f5263c61a8cdbe2.jpg', 'c9d63696629107ed.jpg'),\n('c1753cad2f31d492.jpg', 'd2266ac99461e9db.jpg'),\n('e22e9a365cd1ea58.jpg', 'e22e8a365cd1ea5c.jpg'),\n('e8bd8ac4d982dd83.jpg', 'e8a58ad4d9829f33.jpg'),\n('e8210ddefc024fec.jpg', 'e8212ddeec024fec.jpg'),\n('e83f715e56462a31.jpg', 'd0c766bc38e1978c.jpg'),\n('df90901ccb664de6.jpg', '8c0731fff680c51e.jpg'),\n('e586c25e0f1c3c79.jpg', 'e787c35e0f0c34e8.jpg'),\n('c5339e87235c6ac5.jpg', 'c53b9e87215c6ac5.jpg'),\n('90f99ee1c1132bb6.jpg', '94c83b2d5fad6924.jpg'),\n('949b6595a5b8ca3c.jpg', '848d9f9e82d18e5e.jpg'),\n('a9b2e4b09297bc2b.jpg', 'd1f01e8d8a73274d.jpg'),\n('eec64e8cf1c8d0c6.jpg', 'e51690d8ad307dcb.jpg'),\n('cc73e025cc36d31e.jpg', 'cc73e005cc36f31e.jpg'),\n('b80898e11fa17f1f.jpg', 'b80898e11f81ff1f.jpg'),\n('ab91d1a9d4b49a6c.jpg', 'abb0d5a9d4b4985c.jpg'),\n('d2d9c2bca7a72458.jpg', 'd1dec0973c2cf4a1.jpg'),\n('dbee22785d9285c4.jpg', 'c5aff2e545d0a129.jpg'),\n('f3dc17a2b20d48ec.jpg', '90a5341f227ce5f9.jpg'),\n('8dbeda49894d522e.jpg', 'afbe5641896d522a.jpg'),\n('af6292db1b611d98.jpg', 'a56292dadb618d95.jpg'),\n('abf0b5a0df028b17.jpg', 'abf0b5819f028f0f.jpg'),\n('e385830ecacd2d9e.jpg', 'c335971e8acd609e.jpg'),\n('cebdc20f67838631.jpg', 'dfbdc047068b063d.jpg'),\n('f392f11919991cea.jpg', 'f196f11a99d91ce0.jpg')\n)\n```"
  },
  "source": "meta"
}