{"cells":[{"metadata":{},"cell_type":"markdown","source":"![](https://user-images.githubusercontent.com/40379485/56939165-c72a5f80-6b41-11e9-82e6-8e0c24495d14.png)\n\n\n# Fine-grained segmentation task for fashion and apparel\n\niMaterialist (Fashion) 2019 at FGVC6 with [dataset](https://www.kaggle.com/c/imaterialist-fashion-2019-FGVC6/overview/description)\n\nDesigners know what they are creating, but what, and how, do people really wear their products? What combinations of products are people using? In this competition, we challenge you to develop algorithms that will help with an important step towards automatic product detection – to accurately assign segmentations and attribute labels for fashion images.\n\nVisual analysis of clothing is a topic that has received increasing attention in recent years. Being able to recognize apparel products and associated attributes from pictures could enhance the shopping experience for consumers, and increase work efficiency for fashion professionals.\n\nWe present a new clothing dataset with the goal of introducing a novel fine-grained segmentation task by joining forces between the fashion and computer vision communities. The proposed task unifies both categorization and segmentation of rich and complete apparel attributes, an important step toward real-world applications.\n\n\n"},{"metadata":{"trusted":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd\n\nimport cv2\nimport json\n\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n%matplotlib inline\n\nfrom PIL import Image\n\nfrom wordcloud import WordCloud\n\nimport warnings\nwarnings.filterwarnings(action='ignore')","execution_count":1,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"path = '../input/'","execution_count":2,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df = pd.read_csv(path + 'train.csv')\ntrain_df.head()","execution_count":3,"outputs":[{"output_type":"execute_result","execution_count":3,"data":{"text/plain":"                                ImageId   ...   ClassId\n0  00000663ed1ff0c4e0132b9b9ac53f6e.jpg   ...         6\n1  00000663ed1ff0c4e0132b9b9ac53f6e.jpg   ...         0\n2  00000663ed1ff0c4e0132b9b9ac53f6e.jpg   ...        28\n3  00000663ed1ff0c4e0132b9b9ac53f6e.jpg   ...        31\n4  00000663ed1ff0c4e0132b9b9ac53f6e.jpg   ...        32\n\n[5 rows x 5 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>ImageId</th>\n      <th>EncodedPixels</th>\n      <th>Height</th>\n      <th>Width</th>\n      <th>ClassId</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>00000663ed1ff0c4e0132b9b9ac53f6e.jpg</td>\n      <td>6068157 7 6073371 20 6078584 34 6083797 48 608...</td>\n      <td>5214</td>\n      <td>3676</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>00000663ed1ff0c4e0132b9b9ac53f6e.jpg</td>\n      <td>6323163 11 6328356 32 6333549 53 6338742 75 63...</td>\n      <td>5214</td>\n      <td>3676</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>00000663ed1ff0c4e0132b9b9ac53f6e.jpg</td>\n      <td>8521389 10 8526585 30 8531789 42 8537002 46 85...</td>\n      <td>5214</td>\n      <td>3676</td>\n      <td>28</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>00000663ed1ff0c4e0132b9b9ac53f6e.jpg</td>\n      <td>12903854 2 12909064 7 12914275 10 12919485 15 ...</td>\n      <td>5214</td>\n      <td>3676</td>\n      <td>31</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>00000663ed1ff0c4e0132b9b9ac53f6e.jpg</td>\n      <td>10837337 5 10842542 14 10847746 24 10852951 33...</td>\n      <td>5214</td>\n      <td>3676</td>\n      <td>32</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"label_description = open(path + 'label_descriptions.json').read()\nlabel_description = json.loads(label_description)\nlabel_description.keys()","execution_count":4,"outputs":[{"output_type":"execute_result","execution_count":4,"data":{"text/plain":"dict_keys(['info', 'categories', 'attributes'])"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"label_description_info = label_description['info']\nlabel_description_categories = pd.DataFrame(label_description['categories'])\nlabel_description_attributes = pd.DataFrame(label_description['attributes'])","execution_count":5,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"label_description_info","execution_count":6,"outputs":[{"output_type":"execute_result","execution_count":6,"data":{"text/plain":"{'year': 2019,\n 'version': '1.0',\n 'description': 'The 2019 FGVC^6 iMaterialist Competition - Fashion track dataset.',\n 'contributor': 'iMaterialist Fashion Competition group',\n 'url': 'https://github.com/visipedia/imat_comp',\n 'date_created': '2019-04-19 12:38:27.493919'}"},"metadata":{}}]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"label_description_categories","execution_count":7,"outputs":[{"output_type":"execute_result","execution_count":7,"data":{"text/plain":"    id       ...         supercategory\n0    0       ...             upperbody\n1    1       ...             upperbody\n2    2       ...             upperbody\n3    3       ...             upperbody\n4    4       ...             upperbody\n5    5       ...             upperbody\n6    6       ...             lowerbody\n7    7       ...             lowerbody\n8    8       ...             lowerbody\n9    9       ...             wholebody\n10  10       ...             wholebody\n11  11       ...             wholebody\n12  12       ...             wholebody\n13  13       ...                  head\n14  14       ...                  head\n15  15       ...                  head\n16  16       ...                  neck\n17  17       ...        arms and hands\n18  18       ...        arms and hands\n19  19       ...                 waist\n20  20       ...         legs and feet\n21  21       ...         legs and feet\n22  22       ...         legs and feet\n23  23       ...         legs and feet\n24  24       ...                others\n25  25       ...                others\n26  26       ...                others\n27  27       ...         garment parts\n28  28       ...         garment parts\n29  29       ...         garment parts\n30  30       ...         garment parts\n31  31       ...         garment parts\n32  32       ...         garment parts\n33  33       ...         garment parts\n34  34       ...              closures\n35  35       ...              closures\n36  36       ...           decorations\n37  37       ...           decorations\n38  38       ...           decorations\n39  39       ...           decorations\n40  40       ...           decorations\n41  41       ...           decorations\n42  42       ...           decorations\n43  43       ...           decorations\n44  44       ...           decorations\n45  45       ...           decorations\n\n[46 rows x 4 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>level</th>\n      <th>name</th>\n      <th>supercategory</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>2</td>\n      <td>shirt, blouse</td>\n      <td>upperbody</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>2</td>\n      <td>top, t-shirt, sweatshirt</td>\n      <td>upperbody</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>2</td>\n      <td>sweater</td>\n      <td>upperbody</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>2</td>\n      <td>cardigan</td>\n      <td>upperbody</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>2</td>\n      <td>jacket</td>\n      <td>upperbody</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>5</td>\n      <td>2</td>\n      <td>vest</td>\n      <td>upperbody</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>6</td>\n      <td>2</td>\n      <td>pants</td>\n      <td>lowerbody</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>7</td>\n      <td>2</td>\n      <td>shorts</td>\n      <td>lowerbody</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>8</td>\n      <td>2</td>\n      <td>skirt</td>\n      <td>lowerbody</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>9</td>\n      <td>2</td>\n      <td>coat</td>\n      <td>wholebody</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>10</td>\n      <td>2</td>\n      <td>dress</td>\n      <td>wholebody</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>11</td>\n      <td>2</td>\n      <td>jumpsuit</td>\n      <td>wholebody</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>12</td>\n      <td>2</td>\n      <td>cape</td>\n      <td>wholebody</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>13</td>\n      <td>2</td>\n      <td>glasses</td>\n      <td>head</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>14</td>\n      <td>2</td>\n      <td>hat</td>\n      <td>head</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>15</td>\n      <td>2</td>\n      <td>headband, head covering, hair accessory</td>\n      <td>head</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>16</td>\n      <td>2</td>\n      <td>tie</td>\n      <td>neck</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>17</td>\n      <td>2</td>\n      <td>glove</td>\n      <td>arms and hands</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>18</td>\n      <td>2</td>\n      <td>watch</td>\n      <td>arms and hands</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>19</td>\n      <td>2</td>\n      <td>belt</td>\n      <td>waist</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>20</td>\n      <td>2</td>\n      <td>leg warmer</td>\n      <td>legs and feet</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>21</td>\n      <td>2</td>\n      <td>tights, stockings</td>\n      <td>legs and feet</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>22</td>\n      <td>2</td>\n      <td>sock</td>\n      <td>legs and feet</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>23</td>\n      <td>2</td>\n      <td>shoe</td>\n      <td>legs and feet</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>24</td>\n      <td>2</td>\n      <td>bag, wallet</td>\n      <td>others</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>25</td>\n      <td>2</td>\n      <td>scarf</td>\n      <td>others</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>26</td>\n      <td>2</td>\n      <td>umbrella</td>\n      <td>others</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>27</td>\n      <td>2</td>\n      <td>hood</td>\n      <td>garment parts</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>28</td>\n      <td>2</td>\n      <td>collar</td>\n      <td>garment parts</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>29</td>\n      <td>2</td>\n      <td>lapel</td>\n      <td>garment parts</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>30</td>\n      <td>2</td>\n      <td>epaulette</td>\n      <td>garment parts</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>31</td>\n      <td>2</td>\n      <td>sleeve</td>\n      <td>garment parts</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>32</td>\n      <td>2</td>\n      <td>pocket</td>\n      <td>garment parts</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>33</td>\n      <td>2</td>\n      <td>neckline</td>\n      <td>garment parts</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>34</td>\n      <td>2</td>\n      <td>buckle</td>\n      <td>closures</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>35</td>\n      <td>2</td>\n      <td>zipper</td>\n      <td>closures</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>36</td>\n      <td>2</td>\n      <td>applique</td>\n      <td>decorations</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>37</td>\n      <td>2</td>\n      <td>bead</td>\n      <td>decorations</td>\n    </tr>\n    <tr>\n      <th>38</th>\n      <td>38</td>\n      <td>2</td>\n      <td>bow</td>\n      <td>decorations</td>\n    </tr>\n    <tr>\n      <th>39</th>\n      <td>39</td>\n      <td>2</td>\n      <td>flower</td>\n      <td>decorations</td>\n    </tr>\n    <tr>\n      <th>40</th>\n      <td>40</td>\n      <td>2</td>\n      <td>fringe</td>\n      <td>decorations</td>\n    </tr>\n    <tr>\n      <th>41</th>\n      <td>41</td>\n      <td>2</td>\n      <td>ribbon</td>\n      <td>decorations</td>\n    </tr>\n    <tr>\n      <th>42</th>\n      <td>42</td>\n      <td>2</td>\n      <td>rivet</td>\n      <td>decorations</td>\n    </tr>\n    <tr>\n      <th>43</th>\n      <td>43</td>\n      <td>2</td>\n      <td>ruffle</td>\n      <td>decorations</td>\n    </tr>\n    <tr>\n      <th>44</th>\n      <td>44</td>\n      <td>2</td>\n      <td>sequin</td>\n      <td>decorations</td>\n    </tr>\n    <tr>\n      <th>45</th>\n      <td>45</td>\n      <td>2</td>\n      <td>tassel</td>\n      <td>decorations</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"label_description_attributes","execution_count":8,"outputs":[{"output_type":"execute_result","execution_count":8,"data":{"text/plain":"    id  level                     name    supercategory\n0    0      1   above-the-hip (length)           length\n1    1      1             hip (length)           length\n2    2      1           micro (length)           length\n3    3      1            mini (length)           length\n4    4      1  above-the-knee (length)           length\n5    5      1            knee (length)           length\n6    6      1  below the knee (length)           length\n7    7      1                     midi           length\n8    8      1            maxi (length)           length\n9    9      1           floor (length)           length\n10  10      1          single breasted     opening type\n11  11      1          double breasted     opening type\n12  12      1                  lace up     opening type\n13  13      1                 wrapping     opening type\n14  14      1                   zip-up     opening type\n15  15      1            fly (opening)     opening type\n16  16      1        buckled (opening)     opening type\n17  17      1        toggled (opening)     opening type\n18  18      1               no opening     opening type\n19  19      1             asymmetrical       silhouette\n20  20      1              symmetrical       silhouette\n21  21      1                   peplum       silhouette\n22  22      1                   circle       silhouette\n23  23      1                    flare       silhouette\n24  24      1            fit and flare       silhouette\n25  25      1                  trumpet       silhouette\n26  26      1                  mermaid       silhouette\n27  27      1                  balloon       silhouette\n28  28      1                     bell       silhouette\n29  29      1              bell bottom       silhouette\n..  ..    ...                      ...              ...\n62  62      1                 abstract  textile pattern\n63  63      1                  cartoon  textile pattern\n64  64      1         letters, numbers  textile pattern\n65  65      1               camouflage  textile pattern\n66  66      1                    check  textile pattern\n67  67      1                      dot  textile pattern\n68  68      1                fair isle  textile pattern\n69  69      1                   floral  textile pattern\n70  70      1                geometric  textile pattern\n71  71      1                  paisley  textile pattern\n72  72      1                   stripe  textile pattern\n73  73      1    houndstooth (pattern)  textile pattern\n74  74      1    herringbone (pattern)  textile pattern\n75  75      1                  chevron  textile pattern\n76  76      1                   argyle  textile pattern\n77  77      2                  leopard           animal\n78  78      2      snakeskin (pattern)           animal\n79  79      2                  cheetah           animal\n80  80      2                  peacock           animal\n81  81      2                    zebra           animal\n82  82      2                  giraffe           animal\n83  83      1            toile de jouy  textile pattern\n84  84      1                    plant  textile pattern\n85  85      1         empire waistline        waistline\n86  86      1        dropped waistline        waistline\n87  87      1               high waist        waistline\n88  88      1             normal waist        waistline\n89  89      1                low waist        waistline\n90  90      1       basque (wasitline)        waistline\n91  91      1             no waistline        waistline\n\n[92 rows x 4 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>level</th>\n      <th>name</th>\n      <th>supercategory</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>1</td>\n      <td>above-the-hip (length)</td>\n      <td>length</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>1</td>\n      <td>hip (length)</td>\n      <td>length</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>1</td>\n      <td>micro (length)</td>\n      <td>length</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>1</td>\n      <td>mini (length)</td>\n      <td>length</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>1</td>\n      <td>above-the-knee (length)</td>\n      <td>length</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>5</td>\n      <td>1</td>\n      <td>knee (length)</td>\n      <td>length</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>6</td>\n      <td>1</td>\n      <td>below the knee (length)</td>\n      <td>length</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>7</td>\n      <td>1</td>\n      <td>midi</td>\n      <td>length</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>8</td>\n      <td>1</td>\n      <td>maxi (length)</td>\n      <td>length</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>9</td>\n      <td>1</td>\n      <td>floor (length)</td>\n      <td>length</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>10</td>\n      <td>1</td>\n      <td>single breasted</td>\n      <td>opening type</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>11</td>\n      <td>1</td>\n      <td>double breasted</td>\n      <td>opening type</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>12</td>\n      <td>1</td>\n      <td>lace up</td>\n      <td>opening type</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>13</td>\n      <td>1</td>\n      <td>wrapping</td>\n      <td>opening type</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>14</td>\n      <td>1</td>\n      <td>zip-up</td>\n      <td>opening type</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>15</td>\n      <td>1</td>\n      <td>fly (opening)</td>\n      <td>opening type</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>16</td>\n      <td>1</td>\n      <td>buckled (opening)</td>\n      <td>opening type</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>17</td>\n      <td>1</td>\n      <td>toggled (opening)</td>\n      <td>opening type</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>18</td>\n      <td>1</td>\n      <td>no opening</td>\n      <td>opening type</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>19</td>\n      <td>1</td>\n      <td>asymmetrical</td>\n      <td>silhouette</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>20</td>\n      <td>1</td>\n      <td>symmetrical</td>\n      <td>silhouette</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>21</td>\n      <td>1</td>\n      <td>peplum</td>\n      <td>silhouette</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>22</td>\n      <td>1</td>\n      <td>circle</td>\n      <td>silhouette</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>23</td>\n      <td>1</td>\n      <td>flare</td>\n      <td>silhouette</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>24</td>\n      <td>1</td>\n      <td>fit and flare</td>\n      <td>silhouette</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>25</td>\n      <td>1</td>\n      <td>trumpet</td>\n      <td>silhouette</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>26</td>\n      <td>1</td>\n      <td>mermaid</td>\n      <td>silhouette</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>27</td>\n      <td>1</td>\n      <td>balloon</td>\n      <td>silhouette</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>28</td>\n      <td>1</td>\n      <td>bell</td>\n      <td>silhouette</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>29</td>\n      <td>1</td>\n      <td>bell bottom</td>\n      <td>silhouette</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>62</th>\n      <td>62</td>\n      <td>1</td>\n      <td>abstract</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>63</th>\n      <td>63</td>\n      <td>1</td>\n      <td>cartoon</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>64</th>\n      <td>64</td>\n      <td>1</td>\n      <td>letters, numbers</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>65</th>\n      <td>65</td>\n      <td>1</td>\n      <td>camouflage</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>66</th>\n      <td>66</td>\n      <td>1</td>\n      <td>check</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>67</th>\n      <td>67</td>\n      <td>1</td>\n      <td>dot</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>68</th>\n      <td>68</td>\n      <td>1</td>\n      <td>fair isle</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>69</th>\n      <td>69</td>\n      <td>1</td>\n      <td>floral</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>70</th>\n      <td>70</td>\n      <td>1</td>\n      <td>geometric</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>71</th>\n      <td>71</td>\n      <td>1</td>\n      <td>paisley</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>72</th>\n      <td>72</td>\n      <td>1</td>\n      <td>stripe</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>73</th>\n      <td>73</td>\n      <td>1</td>\n      <td>houndstooth (pattern)</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>74</th>\n      <td>74</td>\n      <td>1</td>\n      <td>herringbone (pattern)</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>75</th>\n      <td>75</td>\n      <td>1</td>\n      <td>chevron</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>76</th>\n      <td>76</td>\n      <td>1</td>\n      <td>argyle</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>77</th>\n      <td>77</td>\n      <td>2</td>\n      <td>leopard</td>\n      <td>animal</td>\n    </tr>\n    <tr>\n      <th>78</th>\n      <td>78</td>\n      <td>2</td>\n      <td>snakeskin (pattern)</td>\n      <td>animal</td>\n    </tr>\n    <tr>\n      <th>79</th>\n      <td>79</td>\n      <td>2</td>\n      <td>cheetah</td>\n      <td>animal</td>\n    </tr>\n    <tr>\n      <th>80</th>\n      <td>80</td>\n      <td>2</td>\n      <td>peacock</td>\n      <td>animal</td>\n    </tr>\n    <tr>\n      <th>81</th>\n      <td>81</td>\n      <td>2</td>\n      <td>zebra</td>\n      <td>animal</td>\n    </tr>\n    <tr>\n      <th>82</th>\n      <td>82</td>\n      <td>2</td>\n      <td>giraffe</td>\n      <td>animal</td>\n    </tr>\n    <tr>\n      <th>83</th>\n      <td>83</td>\n      <td>1</td>\n      <td>toile de jouy</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>84</th>\n      <td>84</td>\n      <td>1</td>\n      <td>plant</td>\n      <td>textile pattern</td>\n    </tr>\n    <tr>\n      <th>85</th>\n      <td>85</td>\n      <td>1</td>\n      <td>empire waistline</td>\n      <td>waistline</td>\n    </tr>\n    <tr>\n      <th>86</th>\n      <td>86</td>\n      <td>1</td>\n      <td>dropped waistline</td>\n      <td>waistline</td>\n    </tr>\n    <tr>\n      <th>87</th>\n      <td>87</td>\n      <td>1</td>\n      <td>high waist</td>\n      <td>waistline</td>\n    </tr>\n    <tr>\n      <th>88</th>\n      <td>88</td>\n      <td>1</td>\n      <td>normal waist</td>\n      <td>waistline</td>\n    </tr>\n    <tr>\n      <th>89</th>\n      <td>89</td>\n      <td>1</td>\n      <td>low waist</td>\n      <td>waistline</td>\n    </tr>\n    <tr>\n      <th>90</th>\n      <td>90</td>\n      <td>1</td>\n      <td>basque (wasitline)</td>\n      <td>waistline</td>\n    </tr>\n    <tr>\n      <th>91</th>\n      <td>91</td>\n      <td>1</td>\n      <td>no waistline</td>\n      <td>waistline</td>\n    </tr>\n  </tbody>\n</table>\n<p>92 rows × 4 columns</p>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df_ImageId_count = train_df['ImageId'].value_counts()\nplt.figure(figsize=(20, 7))\nplt.title('image labels count', size=20)\nplt.xlabel('', size=15);plt.ylabel('', size=15);\nsns.countplot(train_df_ImageId_count)\nplt.show()","execution_count":9,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1440x504 with 1 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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"label_description_categories.shape, label_description_attributes.shape","execution_count":10,"outputs":[{"output_type":"execute_result","execution_count":10,"data":{"text/plain":"((46, 4), (92, 4))"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_classid = pd.DataFrame({'ClassId':train_df['ClassId'].apply(lambda x: x[:2].replace('_', ''))})\nlabel_merge = label_description_categories[['id', 'name']].astype(str).astype(object)","execution_count":24,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df_name = train_classid.merge(label_merge, left_on='ClassId', right_on='id', how='left')\nsum1 = train_df_name.shape[0]\nratio1 = np.round(train_df_name.groupby(['ClassId', 'name']).count().sort_values(by='id', ascending=False).rename(columns = {'id':'count'})/sum1 * 100, 2)","execution_count":25,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df_name_stat = train_df_name.groupby(['ClassId', 'name']).count().sort_values(by='id', ascending=False).rename(columns = {'id':'count'}).reset_index()\ntrain_df_name_stat['ratio(%)'] = ratio1.values\ntrain_df_name_stat","execution_count":26,"outputs":[{"output_type":"execute_result","execution_count":26,"data":{"text/plain":"   ClassId                                     name  count  ratio(%)\n0       31                                   sleeve  59452     17.83\n1       23                                     shoe  46374     13.91\n2       33                                 neckline  34260     10.28\n3       32                                   pocket  27179      8.15\n4       10                                    dress  18739      5.62\n5        1                 top, t-shirt, sweatshirt  16550      4.96\n6        6                                    pants  12415      3.72\n7       28                                   collar  10160      3.05\n8       35                                   zipper   7994      2.40\n9        4                                   jacket   7833      2.35\n10      24                              bag, wallet   7217      2.16\n11      19                                     belt   6851      2.05\n12       0                            shirt, blouse   6161      1.85\n13      29                                    lapel   5972      1.79\n14      37                                     bead   5084      1.52\n15       8                                    skirt   5046      1.51\n16      42                                    rivet   4893      1.47\n17      13                                  glasses   4855      1.46\n18      21                        tights, stockings   4326      1.30\n19      36                                 applique   3529      1.06\n20      15  headband, head covering, hair accessory   3470      1.04\n21      18                                    watch   3389      1.02\n22      34                                   buckle   3300      0.99\n23       9                                     coat   3124      0.94\n24       7                                   shorts   2756      0.83\n25      22                                     sock   2582      0.77\n26      14                                      hat   2518      0.76\n27      43                                   ruffle   2407      0.72\n28       2                                  sweater   1494      0.45\n29      16                                      tie   1457      0.44\n30      17                                    glove   1385      0.42\n31      25                                    scarf   1374      0.41\n32      39                                   flower   1367      0.41\n33      27                                     hood   1226      0.37\n34       3                                 cardigan   1107      0.33\n35      44                                   sequin    929      0.28\n36      11                                 jumpsuit    922      0.28\n37      30                                epaulette    874      0.26\n38       5                                     vest    720      0.22\n39      40                                   fringe    588      0.18\n40      38                                      bow    528      0.16\n41      45                                   tassel    335      0.10\n42      41                                   ribbon    274      0.08\n43      12                                     cape    152      0.05\n44      26                                 umbrella    135      0.04\n45      20                               leg warmer    112      0.03","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>ClassId</th>\n      <th>name</th>\n      <th>count</th>\n      <th>ratio(%)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>31</td>\n      <td>sleeve</td>\n      <td>59452</td>\n      <td>17.83</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>23</td>\n      <td>shoe</td>\n      <td>46374</td>\n      <td>13.91</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>33</td>\n      <td>neckline</td>\n      <td>34260</td>\n      <td>10.28</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>32</td>\n      <td>pocket</td>\n      <td>27179</td>\n      <td>8.15</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>10</td>\n      <td>dress</td>\n      <td>18739</td>\n      <td>5.62</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>1</td>\n      <td>top, t-shirt, sweatshirt</td>\n      <td>16550</td>\n      <td>4.96</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>6</td>\n      <td>pants</td>\n      <td>12415</td>\n      <td>3.72</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>28</td>\n      <td>collar</td>\n      <td>10160</td>\n      <td>3.05</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>35</td>\n      <td>zipper</td>\n      <td>7994</td>\n      <td>2.40</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>4</td>\n      <td>jacket</td>\n      <td>7833</td>\n      <td>2.35</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>24</td>\n      <td>bag, wallet</td>\n      <td>7217</td>\n      <td>2.16</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>19</td>\n      <td>belt</td>\n      <td>6851</td>\n      <td>2.05</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>0</td>\n      <td>shirt, blouse</td>\n      <td>6161</td>\n      <td>1.85</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>29</td>\n      <td>lapel</td>\n      <td>5972</td>\n      <td>1.79</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>37</td>\n      <td>bead</td>\n      <td>5084</td>\n      <td>1.52</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>8</td>\n      <td>skirt</td>\n      <td>5046</td>\n      <td>1.51</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>42</td>\n      <td>rivet</td>\n      <td>4893</td>\n      <td>1.47</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>13</td>\n      <td>glasses</td>\n      <td>4855</td>\n      <td>1.46</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>21</td>\n      <td>tights, stockings</td>\n      <td>4326</td>\n      <td>1.30</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>36</td>\n      <td>applique</td>\n      <td>3529</td>\n      <td>1.06</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>15</td>\n      <td>headband, head covering, hair accessory</td>\n      <td>3470</td>\n      <td>1.04</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>18</td>\n      <td>watch</td>\n      <td>3389</td>\n      <td>1.02</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>34</td>\n      <td>buckle</td>\n      <td>3300</td>\n      <td>0.99</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>9</td>\n      <td>coat</td>\n      <td>3124</td>\n      <td>0.94</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>7</td>\n      <td>shorts</td>\n      <td>2756</td>\n      <td>0.83</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>22</td>\n      <td>sock</td>\n      <td>2582</td>\n      <td>0.77</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>14</td>\n      <td>hat</td>\n      <td>2518</td>\n      <td>0.76</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>43</td>\n      <td>ruffle</td>\n      <td>2407</td>\n      <td>0.72</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2</td>\n      <td>sweater</td>\n      <td>1494</td>\n      <td>0.45</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>16</td>\n      <td>tie</td>\n      <td>1457</td>\n      <td>0.44</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>17</td>\n      <td>glove</td>\n      <td>1385</td>\n      <td>0.42</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>25</td>\n      <td>scarf</td>\n      <td>1374</td>\n      <td>0.41</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>39</td>\n      <td>flower</td>\n      <td>1367</td>\n      <td>0.41</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>27</td>\n      <td>hood</td>\n      <td>1226</td>\n      <td>0.37</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>3</td>\n      <td>cardigan</td>\n      <td>1107</td>\n      <td>0.33</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>44</td>\n      <td>sequin</td>\n      <td>929</td>\n      <td>0.28</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>11</td>\n      <td>jumpsuit</td>\n      <td>922</td>\n      <td>0.28</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>30</td>\n      <td>epaulette</td>\n      <td>874</td>\n      <td>0.26</td>\n    </tr>\n    <tr>\n      <th>38</th>\n      <td>5</td>\n      <td>vest</td>\n      <td>720</td>\n      <td>0.22</td>\n    </tr>\n    <tr>\n      <th>39</th>\n      <td>40</td>\n      <td>fringe</td>\n      <td>588</td>\n      <td>0.18</td>\n    </tr>\n    <tr>\n      <th>40</th>\n      <td>38</td>\n      <td>bow</td>\n      <td>528</td>\n      <td>0.16</td>\n    </tr>\n    <tr>\n      <th>41</th>\n      <td>45</td>\n      <td>tassel</td>\n      <td>335</td>\n      <td>0.10</td>\n    </tr>\n    <tr>\n      <th>42</th>\n      <td>41</td>\n      <td>ribbon</td>\n      <td>274</td>\n      <td>0.08</td>\n    </tr>\n    <tr>\n      <th>43</th>\n      <td>12</td>\n      <td>cape</td>\n      <td>152</td>\n      <td>0.05</td>\n    </tr>\n    <tr>\n      <th>44</th>\n      <td>26</td>\n      <td>umbrella</td>\n      <td>135</td>\n      <td>0.04</td>\n    </tr>\n    <tr>\n      <th>45</th>\n      <td>20</td>\n      <td>leg warmer</td>\n      <td>112</td>\n      <td>0.03</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"text = ''\nfor idx, name in enumerate(train_df_name_stat['name']):\n    text += (name + ' ') * train_df_name_stat.loc[idx, 'count']\ntext = text[:-1]\n\nwordcloud = WordCloud(max_font_size=50, width=600, height=300, background_color='white').generate(text)\nplt.figure(figsize=(15,8))\nplt.imshow(wordcloud)\nplt.title(\"label_description_attributes in the images\", fontsize=15)\nplt.axis(\"off\")\nplt.show() ","execution_count":27,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x576 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_classid = pd.DataFrame({'ClassId':[j for i in train_df['ClassId'][train_df['ClassId'].apply(lambda x: '_' in x)].apply(lambda x: x.split('_')[1:]) for j in i]})\nlabel_merge = label_description_attributes[['id', 'name']].astype(str).astype(object)","execution_count":28,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df_name = train_classid.merge(label_merge, left_on='ClassId', right_on='id', how='left')\nsum1 = train_df_name.shape[0]\nratio1 = np.round(train_df_name.groupby(['ClassId', 'name']).count().sort_values(by='id', ascending=False).rename(columns = {'id':'count'})/sum1 * 100, 3)","execution_count":29,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df_name_stat = train_df_name.groupby(['ClassId', 'name']).count().sort_values(by='id', ascending=False).rename(columns = {'id':'count'}).reset_index()\ntrain_df_name_stat['ratio(%)'] = ratio1.values\ntrain_df_name_stat","execution_count":30,"outputs":[{"output_type":"execute_result","execution_count":30,"data":{"text/plain":"   ClassId                                name  count  ratio(%)\n0       20                         symmetrical  10773    15.018\n1       61                     plain (pattern)   8719    12.155\n2       60  no special manufacturing technique   6396     8.917\n3       41                       regular (fit)   3676     5.125\n4       88                        normal waist   3569     4.975\n5       91                        no waistline   2989     4.167\n6       14                              zip-up   2872     4.004\n7        0              above-the-hip (length)   2716     3.786\n8       40                         tight (fit)   2224     3.100\n9        3                       mini (length)   1951     2.720\n10      87                          high waist   1740     2.426\n11      15                       fly (opening)   1650     2.300\n12      33                            straight   1461     2.037\n13       8                       maxi (length)   1416     1.974\n14      10                     single breasted   1319     1.839\n15      42                         loose (fit)   1126     1.570\n16      53                           gathering   1020     1.422\n17       1                        hip (length)    844     1.177\n18      32                              pencil    819     1.142\n19      69                              floral    765     1.066\n20      46                              washed    712     0.993\n21       9                      floor (length)    644     0.898\n22      52                               pleat    584     0.814\n23       2                      micro (length)    574     0.800\n24      34                              a-line    542     0.756\n25      72                              stripe    525     0.732\n26       4             above-the-knee (length)    524     0.730\n27      49                             printed    511     0.712\n28      86                   dropped waistline    487     0.679\n29       5                       knee (length)    467     0.651\n..     ...                                 ...    ...       ...\n62      26                             mermaid     82     0.114\n63      90                  basque (wasitline)     82     0.114\n64      11                     double breasted     74     0.103\n65      68                           fair isle     70     0.098\n66      51                             quilted     67     0.093\n67      39                        curved (fit)     64     0.089\n68      30                             bootcut     62     0.086\n69      77                             leopard     56     0.078\n70      75                             chevron     48     0.067\n71      54                            smocking     47     0.066\n72      64                    letters, numbers     46     0.064\n73      36                               baggy     31     0.043\n74      58                          perforated     31     0.043\n75      27                             balloon     28     0.039\n76      65                          camouflage     28     0.039\n77      78                 snakeskin (pattern)     28     0.039\n78      16                   buckled (opening)     23     0.032\n79      79                             cheetah     23     0.032\n80      73               houndstooth (pattern)     19     0.026\n81      82                             giraffe     17     0.024\n82      81                               zebra     15     0.021\n83      29                         bell bottom     11     0.015\n84      83                       toile de jouy     11     0.015\n85      47                            embossed     10     0.014\n86      17                   toggled (opening)     10     0.014\n87      74               herringbone (pattern)     10     0.014\n88      76                              argyle      9     0.013\n89      21                              peplum      9     0.013\n90      80                             peacock      7     0.010\n91      44                             burnout      3     0.004\n\n[92 rows x 4 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>ClassId</th>\n      <th>name</th>\n      <th>count</th>\n      <th>ratio(%)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>20</td>\n      <td>symmetrical</td>\n      <td>10773</td>\n      <td>15.018</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>61</td>\n      <td>plain (pattern)</td>\n      <td>8719</td>\n      <td>12.155</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>60</td>\n      <td>no special manufacturing technique</td>\n      <td>6396</td>\n      <td>8.917</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>41</td>\n      <td>regular (fit)</td>\n      <td>3676</td>\n      <td>5.125</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>88</td>\n      <td>normal waist</td>\n      <td>3569</td>\n      <td>4.975</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>91</td>\n      <td>no waistline</td>\n      <td>2989</td>\n      <td>4.167</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>14</td>\n      <td>zip-up</td>\n      <td>2872</td>\n      <td>4.004</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>0</td>\n      <td>above-the-hip (length)</td>\n      <td>2716</td>\n      <td>3.786</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>40</td>\n      <td>tight (fit)</td>\n      <td>2224</td>\n      <td>3.100</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>3</td>\n      <td>mini (length)</td>\n      <td>1951</td>\n      <td>2.720</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>87</td>\n      <td>high waist</td>\n      <td>1740</td>\n      <td>2.426</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>15</td>\n      <td>fly (opening)</td>\n      <td>1650</td>\n      <td>2.300</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>33</td>\n      <td>straight</td>\n      <td>1461</td>\n      <td>2.037</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>8</td>\n      <td>maxi (length)</td>\n      <td>1416</td>\n      <td>1.974</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>10</td>\n      <td>single breasted</td>\n      <td>1319</td>\n      <td>1.839</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>42</td>\n      <td>loose (fit)</td>\n      <td>1126</td>\n      <td>1.570</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>53</td>\n      <td>gathering</td>\n      <td>1020</td>\n      <td>1.422</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>1</td>\n      <td>hip (length)</td>\n      <td>844</td>\n      <td>1.177</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>32</td>\n      <td>pencil</td>\n      <td>819</td>\n      <td>1.142</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>69</td>\n      <td>floral</td>\n      <td>765</td>\n      <td>1.066</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>46</td>\n      <td>washed</td>\n      <td>712</td>\n      <td>0.993</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>9</td>\n      <td>floor (length)</td>\n      <td>644</td>\n      <td>0.898</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>52</td>\n      <td>pleat</td>\n      <td>584</td>\n      <td>0.814</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2</td>\n      <td>micro (length)</td>\n      <td>574</td>\n      <td>0.800</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>34</td>\n      <td>a-line</td>\n      <td>542</td>\n      <td>0.756</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>72</td>\n      <td>stripe</td>\n      <td>525</td>\n      <td>0.732</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>4</td>\n      <td>above-the-knee (length)</td>\n      <td>524</td>\n      <td>0.730</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>49</td>\n      <td>printed</td>\n      <td>511</td>\n      <td>0.712</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>86</td>\n      <td>dropped waistline</td>\n      <td>487</td>\n      <td>0.679</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>5</td>\n      <td>knee (length)</td>\n      <td>467</td>\n      <td>0.651</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>62</th>\n      <td>26</td>\n      <td>mermaid</td>\n      <td>82</td>\n      <td>0.114</td>\n    </tr>\n    <tr>\n      <th>63</th>\n      <td>90</td>\n      <td>basque (wasitline)</td>\n      <td>82</td>\n      <td>0.114</td>\n    </tr>\n    <tr>\n      <th>64</th>\n      <td>11</td>\n      <td>double breasted</td>\n      <td>74</td>\n      <td>0.103</td>\n    </tr>\n    <tr>\n      <th>65</th>\n      <td>68</td>\n      <td>fair isle</td>\n      <td>70</td>\n      <td>0.098</td>\n    </tr>\n    <tr>\n      <th>66</th>\n      <td>51</td>\n      <td>quilted</td>\n      <td>67</td>\n      <td>0.093</td>\n    </tr>\n    <tr>\n      <th>67</th>\n      <td>39</td>\n      <td>curved (fit)</td>\n      <td>64</td>\n      <td>0.089</td>\n    </tr>\n    <tr>\n      <th>68</th>\n      <td>30</td>\n      <td>bootcut</td>\n      <td>62</td>\n      <td>0.086</td>\n    </tr>\n    <tr>\n      <th>69</th>\n      <td>77</td>\n      <td>leopard</td>\n      <td>56</td>\n      <td>0.078</td>\n    </tr>\n    <tr>\n      <th>70</th>\n      <td>75</td>\n      <td>chevron</td>\n      <td>48</td>\n      <td>0.067</td>\n    </tr>\n    <tr>\n      <th>71</th>\n      <td>54</td>\n      <td>smocking</td>\n      <td>47</td>\n      <td>0.066</td>\n    </tr>\n    <tr>\n      <th>72</th>\n      <td>64</td>\n      <td>letters, numbers</td>\n      <td>46</td>\n      <td>0.064</td>\n    </tr>\n    <tr>\n      <th>73</th>\n      <td>36</td>\n      <td>baggy</td>\n      <td>31</td>\n      <td>0.043</td>\n    </tr>\n    <tr>\n      <th>74</th>\n      <td>58</td>\n      <td>perforated</td>\n      <td>31</td>\n      <td>0.043</td>\n    </tr>\n    <tr>\n      <th>75</th>\n      <td>27</td>\n      <td>balloon</td>\n      <td>28</td>\n      <td>0.039</td>\n    </tr>\n    <tr>\n      <th>76</th>\n      <td>65</td>\n      <td>camouflage</td>\n      <td>28</td>\n      <td>0.039</td>\n    </tr>\n    <tr>\n      <th>77</th>\n      <td>78</td>\n      <td>snakeskin (pattern)</td>\n      <td>28</td>\n      <td>0.039</td>\n    </tr>\n    <tr>\n      <th>78</th>\n      <td>16</td>\n      <td>buckled (opening)</td>\n      <td>23</td>\n      <td>0.032</td>\n    </tr>\n    <tr>\n      <th>79</th>\n      <td>79</td>\n      <td>cheetah</td>\n      <td>23</td>\n      <td>0.032</td>\n    </tr>\n    <tr>\n      <th>80</th>\n      <td>73</td>\n      <td>houndstooth (pattern)</td>\n      <td>19</td>\n      <td>0.026</td>\n    </tr>\n    <tr>\n      <th>81</th>\n      <td>82</td>\n      <td>giraffe</td>\n      <td>17</td>\n      <td>0.024</td>\n    </tr>\n    <tr>\n      <th>82</th>\n      <td>81</td>\n      <td>zebra</td>\n      <td>15</td>\n      <td>0.021</td>\n    </tr>\n    <tr>\n      <th>83</th>\n      <td>29</td>\n      <td>bell bottom</td>\n      <td>11</td>\n      <td>0.015</td>\n    </tr>\n    <tr>\n      <th>84</th>\n      <td>83</td>\n      <td>toile de jouy</td>\n      <td>11</td>\n      <td>0.015</td>\n    </tr>\n    <tr>\n      <th>85</th>\n      <td>47</td>\n      <td>embossed</td>\n      <td>10</td>\n      <td>0.014</td>\n    </tr>\n    <tr>\n      <th>86</th>\n      <td>17</td>\n      <td>toggled (opening)</td>\n      <td>10</td>\n      <td>0.014</td>\n    </tr>\n    <tr>\n      <th>87</th>\n      <td>74</td>\n      <td>herringbone (pattern)</td>\n      <td>10</td>\n      <td>0.014</td>\n    </tr>\n    <tr>\n      <th>88</th>\n      <td>76</td>\n      <td>argyle</td>\n      <td>9</td>\n      <td>0.013</td>\n    </tr>\n    <tr>\n      <th>89</th>\n      <td>21</td>\n      <td>peplum</td>\n      <td>9</td>\n      <td>0.013</td>\n    </tr>\n    <tr>\n      <th>90</th>\n      <td>80</td>\n      <td>peacock</td>\n      <td>7</td>\n      <td>0.010</td>\n    </tr>\n    <tr>\n      <th>91</th>\n      <td>44</td>\n      <td>burnout</td>\n      <td>3</td>\n      <td>0.004</td>\n    </tr>\n  </tbody>\n</table>\n<p>92 rows × 4 columns</p>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"text = ''\nfor idx, name in enumerate(train_df_name_stat['name']):\n    text += (name + ' ') * train_df_name_stat.loc[idx, 'count']\ntext = text[:-1]\n\nwordcloud = WordCloud(max_font_size=50, width=600, height=300, background_color='white').generate(text)\nplt.figure(figsize=(15,8))\nplt.imshow(wordcloud)\nplt.title(\"label_description_attributes in the images\", fontsize=15)\nplt.axis(\"off\")\nplt.show() ","execution_count":31,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x576 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"# Image Data"},{"metadata":{"trusted":true},"cell_type":"code","source":"import os","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub = pd.read_csv(path + 'sample_submission.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print('The number of training image is {}.'.format(len(os.listdir(path + 'train'))))\nprint('train data unique length is {}.\\n'.format(len(np.unique(train_df['ImageId']))))\nprint('The number of test image is {}.'.format(len(os.listdir(path + 'test'))))\nprint('test data unique length is {}.'.format(len(np.unique(sub['ImageId']))))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"f, axes = plt.subplots(3, 1, figsize=(20, 15))\nplt.subplot(3, 1, 1)\nsns.distplot(train_df.groupby('ImageId').mean().reset_index()['Height'].tolist(), bins=150).set_title('Height Histogram')\n\nplt.subplot(3, 1, 2)\nsns.distplot(train_df.groupby('ImageId').mean().reset_index()['Width'].tolist(), bins=150).set_title('Width Histogram')\n\nplt.subplot(3, 1, 3)\nsns.distplot(train_df.groupby('ImageId').mean().reset_index()['Height'] * train_df.groupby('ImageId').mean().reset_index()['Width']/10000, bins=300).set_title('Area Histogram(/10000)')\n\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"img_name = np.argmin(train_df.groupby('ImageId').mean()['Height'] * train_df.groupby('ImageId').mean()['Width'])\nprint('minimum area picture \\nHeight : {} \\nWidth : {}'.format(train_df.loc[train_df['ImageId'] == img_name, 'Height'].mean(), train_df.loc[train_df['ImageId'] == img_name, 'Width'].mean()))\nimg = np.asarray(Image.open(path + \"train/\" + img_name))\nplt.imshow(img)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"img_name = np.argmax(train_df.groupby('ImageId').mean()['Height'] * train_df.groupby('ImageId').mean()['Width'])\nprint('maximum area picture \\nHeight : {} \\nWidth : {}'.format(train_df.loc[train_df['ImageId'] == img_name, 'Height'].mean(), train_df.loc[train_df['ImageId'] == img_name, 'Width'].mean()))\nimg = np.asarray(Image.open(path + \"train/\" + img_name))\nplt.imshow(img)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"img_name = np.argmin(train_df.groupby('ImageId').mean()['Height'])\nprint('minimum height picture \\nHeight : {} \\nWidth : {}'.format(train_df.loc[train_df['ImageId'] == img_name, 'Height'].mean(), train_df.loc[train_df['ImageId'] == img_name, 'Width'].mean()))\nimg = np.asarray(Image.open(path + \"train/\" + img_name))\nplt.imshow(img)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"img_name = np.argmax(train_df.groupby('ImageId').mean()['Height'])\nprint('maximum height picture \\nHeight : {} \\nWidth : {}'.format(train_df.loc[train_df['ImageId'] == img_name, 'Height'].mean(), train_df.loc[train_df['ImageId'] == img_name, 'Width'].mean()))\nimg = np.asarray(Image.open(path + \"train/\" + img_name))\nplt.imshow(img)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"img_name = np.argmin(train_df.groupby('ImageId').mean()['Width'])\nprint('minimum width picture \\nHeight : {} \\nWidth : {}'.format(train_df.loc[train_df['ImageId'] == img_name, 'Height'].mean(), train_df.loc[train_df['ImageId'] == img_name, 'Width'].mean()))\nimg = np.asarray(Image.open(path + \"train/\" + img_name))\nplt.imshow(img)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"img_name = np.argmax(train_df.groupby('ImageId').mean()['Width'])\nprint('maximum width picture \\nHeight : {} \\nWidth : {}'.format(train_df.loc[train_df['ImageId'] == img_name, 'Height'].mean(), train_df.loc[train_df['ImageId'] == img_name, 'Width'].mean()))\nimg = np.asarray(Image.open(path + \"train/\" + img_name))\nplt.imshow(img)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}