{"id":4785,"date":"2020-03-16T18:23:45","date_gmt":"2020-03-16T09:23:45","guid":{"rendered":"https:\/\/transynk.co.jp\/?post_type=blog&p=4785"},"modified":"2024-04-07T21:00:12","modified_gmt":"2024-04-07T12:00:12","slug":"datasets-image-classification-datasets-for-machine-learning","status":"publish","type":"blog","link":"https:\/\/transynk.co.jp\/en\/blog\/datasets-image-classification-datasets-for-machine-learning\/","title":{"rendered":"\u301010\u500b\u63b2\u8f09\u3011\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u753b\u50cf\u5206\u985e\u3067\u4f7f\u3048\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8"},"content":{"rendered":"

\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3051\u308b\u753b\u50cf\u5206\u985e\u3068\u306f\uff1f<\/h3><\/div>

\u753b\u50cf\u5206\u985e\u3068\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u3084\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e2\u30c7\u30eb\u3067\u3001\u753b\u50cf\u3092\u4f55\u3089\u304b\u306e\u4e3b\u984c\u306b\u57fa\u3065\u304d\u5206\u985e\u3059\u308b\u51e6\u7406\u65b9\u6cd5\u306e\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002\u3044\u304f\u3064\u304b\u306e\u5206\u985e\u624b\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u3067\u306f\u3001\u30e9\u30d9\u30eb\u4ed8\u3051\u3055\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7528\u3044\u3066\u3001\u30e2\u30c7\u30eb\u3092\u5b66\u7fd2\u3055\u305b\u3066\u3044\u304d\u307e\u3059\u3002\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u3067\u306f\u3001\u4e8b\u524d\u306e\u30e9\u30d9\u30eb\u4ed8\u3051\u306f\u305b\u305a\u3001\u753b\u50cf\u30c7\u30fc\u30bf\u304c\u6301\u3064\u7279\u5fb4\u91cf\u306e\u5206\u5e03\u306b\u57fa\u3065\u3044\u3066\u3001\u8907\u6570\u306e\u30af\u30e9\u30b9\u306b\u753b\u50cf\u3092\u5206\u985e\u3057\u307e\u3059\u3002\u30b7\u30fc\u30f3\u8a8d\u8b58\u3084\u7269\u4f53\u691c\u51fa\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306a\u3069\u306e\u69cb\u7bc9\u3092\u304a\u624b\u4f1d\u3044\u3059\u308b\u305f\u3081\u3001\u753b\u50cf\u5206\u985e\u306b\u4f7f\u3048\u308b\u30aa\u30fc\u30d7\u30f3\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30ea\u30b9\u30c8\u3092\u307e\u3068\u3081\u307e\u3057\u305f\u3002\u305d\u308c\u305e\u308c\u9818\u57df\u3084\u898f\u6a21\u304c\u7570\u306a\u308b\u306e\u3067\u3001\u69d8\u3005\u306a\u5834\u9762\u3067\u6d3b\u7528\u3067\u304d\u307e\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001\u533b\u7528\u753b\u50cf\u3001\u8fb2\u696d\u304a\u3088\u3073\u30b7\u30fc\u30f3\u8a8d\u8b58\u3001\u305d\u306e\u4ed6\u306b\u5206\u985e\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/div>

<\/div><\/div>

\u533b\u7528\u306e\u753b\u50cf\u5206\u985e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<\/h3><\/div>
<\/span><\/div>
    \n
  1. \u30ea\u30ab\u30fc\u30b8\u30e7\u30f3\u7d30\u80de\u753b\u50cf\u5206\u985e<\/a>: \u30ea\u30ab\u30fc\u30b8\u30e7\u30f3\u306e2019\u5e74\u306e\u30c1\u30e3\u30ec\u30f3\u30b8\u304b\u3089\u306e\u30c7\u30fc\u30bf\u3002\u3053\u306e\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u306e\u76ee\u7684\u306f\u3001\u751f\u7269\u9855\u5fae\u93e1\u30c7\u30fc\u30bf\u3092\u5229\u7528\u3057\u3066\u3001\u8907\u88fd\u3092\u8b58\u5225\u3059\u308b\u30e2\u30c7\u30eb\u3092\u958b\u767a\u3059\u308b\u3053\u3068\u3067\u3042\u308b\u3002\u672c\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u306e\u8a73\u7d30\u306f\u3053\u3061\u3089\u3092\u3054\u89a7\u304f\u3060\u3055\u3044<\/a>\u3002<\/li>\n
  2. TensorFlow patch_camelyon\u533b\u7528\u753b\u50cf<\/a>: TensorFlow\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8\u304b\u3089\u53d6\u5f97\u3057\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u300296 x 96\u30d4\u30af\u30bb\u30eb\u306e\u30ab\u30e9\u30fc\u753b\u50cf327,000\u679a\u5f37\u304c\u542b\u307e\u308c\u308b\u3002\u8ee2\u79fb\u6027\u7d44\u7e54\u3092\u542b\u3080\u30ea\u30f3\u30d1\u7bc0\u306e\u75c5\u7406\u7d44\u7e54\u5b66\u7684\u30b9\u30ad\u30e3\u30f3\u753b\u50cf\u3002<\/li>\n<\/ol>\n<\/div>
    <\/div><\/div>

    \u8fb2\u696d\u304a\u3088\u3073\u30b7\u30fc\u30f3\u8a8d\u8b58\u306e\u753b\u50cf\u5206\u985e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<\/h3><\/div>
    <\/span><\/div>
      \n
    1. CoastSat\u753b\u50cf\u5206\u985e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<\/a>: \u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u6d77\u5cb8\u7dda\u30de\u30c3\u30d4\u30f3\u30b0\u30c4\u30fc\u30eb\u306b\u5229\u7528\u3055\u308c\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u885b\u661f\u753b\u50cf\u306b\u30e1\u30bf\u30c7\u30fc\u30bf\u304c\u4ed8\u4e0e\u3055\u308c\u3066\u3044\u308b\u3002<\/li>\n
    2. \u5929\u6c17\u8a8d\u8b58\u7528\u753b\u50cf<\/a>: \u30de\u30eb\u30c1\u30af\u30e9\u30b9\u306e\u5929\u6c17\u8a8d\u8b58\u306b\u5229\u7528\u3055\u308c\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u53ce\u96c6\u3055\u308c\u305f1125\u679a\u306e\u753b\u50cf\u304c\u65e5\u306e\u51fa\u3001\u6674\u308c\u3001\u66c7\u308a\u3001\u96e8\u306e\u56db\u3064\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u5206\u985e\u3055\u308c\u3066\u3044\u308b\u3002<\/li>\n
    3. \u5c4b\u5185\u30b7\u30fc\u30f3\u8a8d\u8b58<\/a>: MIT\uff08\u30de\u30b5\u30c1\u30e5\u30fc\u30bb\u30c3\u30c4\u5de5\u79d1\u5927\u5b66\uff09\u304b\u3089\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u300115,000\u679a\u4ee5\u4e0a\u306e\u5c4b\u5185\u753b\u50cf\u304c\u542b\u307e\u308c\u308b\u3002\u5143\u3005\u3001\u5c4b\u5185\u30b7\u30fc\u30f3\u8a8d\u8b58\u306e\u554f\u984c\u306b\u53d6\u308a\u7d44\u3080\u305f\u3081\u306b\u69cb\u7bc9\u3055\u308c\u3001\u5168\u3066\u306e\u753b\u50cf\u306fJPEG\u5f62\u5f0f\u306767\u500b\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u5206\u985e\u3055\u308c\u3066\u3044\u308b\u3002\u305d\u308c\u305e\u308c\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u542b\u307e\u308c\u308b\u753b\u50cf\u306e\u6570\u306f\u7570\u306a\u308b\u304c\u3001\u5404\u30ab\u30c6\u30b4\u30ea\u30fc\u306b100\u679a\u4ee5\u4e0a\u306e\u753b\u50cf\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n
    4. \u30a4\u30f3\u30c6\u30eb\u753b\u50cf\u5206\u985e<\/a>: \u753b\u50cf\u5206\u985e\u30b3\u30f3\u30c6\u30b9\u30c8\u7528\u306b\u30a4\u30f3\u30c6\u30eb\u304c\u4f5c\u6210\u3057\u305f\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3001\u7d0425,000\u679a\u306e\u753b\u50cf\u304c\u542b\u307e\u308c\u308b\u3002\u753b\u50cf\u306f\u3001\u5efa\u7269\u3001\u68ee\u6797\u3001\u6c37\u6cb3\u3001\u5c71\u3001\u6d77\u3001\u901a\u308a\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u5206\u985e\u3055\u308c\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7528\u3001\u30c6\u30b9\u30c8\u7528\u3001\u4e88\u6e2c\u7528\u306e\u30d5\u30a9\u30eb\u30c0\u30fc\u306b\u5206\u3051\u3089\u308c\u3066\u3044\u308b\u3002\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7528\u30d5\u30a9\u30eb\u30c0\u30fc\u306b\u306f\u7d0414,000\u679a\u3001\u30c6\u30b9\u30c8\u7528\u30d5\u30a9\u30eb\u30c0\u30fc\u306b\u306f\u7d043,000\u679a\u3001\u4e88\u6e2c\u7528\u30d5\u30a9\u30eb\u30c0\u30fc\u306b\u306f\u7d047,000\u679a\u306e\u753b\u50cf\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n
    5. TensorFlow Sun397\u753b\u50cf\u5206\u985e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<\/a>: \u3053\u308c\u3082Tensorflow\u304b\u3089\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3001\u30b7\u30fc\u30f3\u7406\u89e3\uff08SUN\uff09\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u5229\u7528\u3055\u308c\u308b108,000\u679a\u4ee5\u4e0a\u306e\u753b\u50cf\u304b\u3089\u69cb\u6210\u3055\u308c\u308b\u3002397\u500b\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u5206\u985e\u3055\u308c\u3066\u3044\u308b\u304c\u3001\u305d\u308c\u305e\u308c\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u542b\u307e\u308c\u308b\u753b\u50cf\u306e\u6570\u306f\u7570\u306a\u308b\u3002\u3057\u304b\u3057\u3001\u69d8\u3005\u306a\u30b7\u30fc\u30f3\u304a\u3088\u3073\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u306e\u305d\u308c\u305e\u308c\u306b100\u679a\u4ee5\u4e0a\u306e\u753b\u50cf\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n<\/ol>\n<\/div>
      <\/div><\/div>

      \u4ed6\u306e\u753b\u50cf\u5206\u985e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<\/h3><\/div>
        \n
      1. \u5efa\u7bc9\u907a\u7523\u306e\u8981\u7d20<\/a>: \u6587\u5316\u907a\u7523\u306e\u5efa\u7bc9\u753b\u50cf\u3092\u5206\u985e\u3067\u304d\u308b\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306b\u4f5c\u6210\u3055\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u300210,000\u679a\u4ee5\u4e0a\u306e\u753b\u50cf\u304c10\u500b\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u5206\u985e\u3055\u308c\u3066\u3044\u308b\u3002\u30ab\u30c6\u30b4\u30ea\u30fc\u306f\u3001\u796d\u58c7\u3001\u30a2\u30d7\u30b9\uff08\u5f8c\u9663\uff09\u3001\u9418\u697c\u3001\u67f1\u3001\u30c9\u30fc\u30e0\uff08\u5185\u5074\uff09\u3001\u30c9\u30fc\u30e0\uff08\u5916\u5074\uff09\u3001\u30d5\u30e9\u30a4\u30f3\u30b0\u30fb\u30d0\u30c3\u30c8\u30ec\u30b9\u3001\u30ac\u30fc\u30b4\u30a4\u30eb\u3001\u30b9\u30c6\u30f3\u30c9\u30b0\u30e9\u30b9\u3001\u5186\u5929\u4e95\u3002<\/li>\n
      2. \u753b\u50cf\u5206\u985e\u3001\u4eba\u3068\u98df\u4e8b<\/a>: \u98df\u4e8b\u3092\u3057\u3066\u3044\u308b\u4eba\u3005\u306e\u753b\u50cf\u304cCSV\u5f62\u5f0f\u3067\u4fdd\u5b58\u3055\u308c\u3066\u3044\u308b\u3002\u753b\u50cf\u306f\u6027\u5225\u3068\u5e74\u9f62\u3067\u5206\u985e\u3055\u308c\u3066\u3044\u308b\u3002587\u5217\u306e\u30c7\u30fc\u30bf\u304c\u542b\u307e\u308c\u3001\u5404\u753b\u50cf\u306b\u306fURL\u3078\u306e\u30cf\u30a4\u30d1\u30fc\u30ea\u30f3\u30af\u304c\u8a2d\u5b9a\u3055\u308c\u3066\u3044\u308b\u3002<\/li>\n
      3. \u5206\u985e\u7528\u30b3\u30f3\u30af\u30ea\u30fc\u30c8\u306e\u4e80\u88c2\u753b\u50cf<\/a>: Mendeley\u304b\u3089\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u300140,000\u679a\u306e\u30b3\u30f3\u30af\u30ea\u30fc\u30c8\u306e\u753b\u50cf\u304c\u542b\u307e\u308c\u308b\u3002\u5404\u753b\u50cf\u3068\u3082227 x 227\u30d4\u30af\u30bb\u30eb\u3067\u3001\u753b\u50cf\u306e\u534a\u5206\u306f\u4e80\u88c2\u306e\u3042\u308b\u30b3\u30f3\u30af\u30ea\u30fc\u30c8\u3001\u6b8b\u308a\u306e\u534a\u5206\u306f\u4e80\u88c2\u306e\u306a\u3044\u3082\u306e\u3002<\/li>\n<\/ol>\n<\/div>
        <\/div><\/div>

        TranSynk\u306e\u753b\u50cf\u5206\u985e\u30b5\u30fc\u30d3\u30b9<\/h3><\/div>

        \u4e0a\u8a18\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u5fc5\u8981\u306a\u5b66\u7fd2\u30c7\u30fc\u30bf\u306e\u53d6\u5f97\u306b\u304a\u5f79\u306b\u7acb\u3066\u308c\u3070\u5e78\u3044\u3067\u3059\u3002\u3088\u308a\u5c02\u9580\u7684\u306a\u5b66\u7fd2\u30c7\u30fc\u30bf\u304c\u5fc5\u8981\u306a\u5834\u5408\u306f\u3001\u5f53\u793e\u304c\u304a\u5ba2\u69d8\u306e\u8981\u4ef6\u306b\u5408\u308f\u305b\u305f\u65e2\u5b58\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304b\u3089\u3054\u6848\u5185\u307e\u305f\u306f\u30ab\u30b9\u30bf\u30e0\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3068\u3057\u3066\u3001\u753b\u50cf\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4f5c\u6210\u3084\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u304a\u624b\u4f1d\u3044\u3044\u305f\u3057\u307e\u3059\u3002\u5f53\u793e\u306e\u753b\u50cf\u5206\u985e\u30b5\u30fc\u30d3\u30b9\u306b\u3064\u3044\u3066\u306f\u3001\u304a\u6c17\u8efd\u306b\u304a\u554f\u3044\u5408\u308f\u305b\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

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