{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_parquet('object_annotations.parquet')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>col_x</th>\n",
       "      <th>row_y</th>\n",
       "      <th>width</th>\n",
       "      <th>height</th>\n",
       "      <th>confidence</th>\n",
       "      <th>label</th>\n",
       "      <th>source</th>\n",
       "      <th>caption</th>\n",
       "      <th>filename</th>\n",
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       "      <td>459.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.888</td>\n",
       "      <td>human face</td>\n",
       "      <td>VL</td>\n",
       "      <td>a man with a white shirt and a black tie</td>\n",
       "      <td>oxford-iiit-pet/images/Abyssinian_149.jpg</td>\n",
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       "    <tr>\n",
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       "      <td>a woman with a blonde hair and a white shirt</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "      <td>0.379</td>\n",
       "      <td>human face</td>\n",
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       "      <td>a brown cat with green eyes</td>\n",
       "      <td>oxford-iiit-pet/images/Abyssinian_24.jpg</td>\n",
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       "      <th>4</th>\n",
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       "      <td>human face</td>\n",
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       "      <td>a man wearing a hat</td>\n",
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       "      <td>262.0</td>\n",
       "      <td>0.924</td>\n",
       "      <td>dog</td>\n",
       "      <td>VL</td>\n",
       "      <td>a small dog standing on a rock near a stream</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_97.jpg</td>\n",
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       "      <td>VL</td>\n",
       "      <td>a bird sitting on a rock next to a stream</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_97.jpg</td>\n",
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       "    <tr>\n",
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       "      <td>dog</td>\n",
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       "      <td>a small black and brown puppy is being held by...</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_58.jpg</td>\n",
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       "      <th>14326</th>\n",
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       "      <td>0.310</td>\n",
       "      <td>person</td>\n",
       "      <td>VL</td>\n",
       "      <td>a small brown dog is being held by a person</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_58.jpg</td>\n",
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       "      <td>dog</td>\n",
       "      <td>VL</td>\n",
       "      <td>a small black and gray dog standing in the grass</td>\n",
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       "       col_x  row_y  width  height  confidence       label source  \\\n",
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       "1      431.0  115.0   31.0    41.0       0.864  human face     VL   \n",
       "2      160.0   76.0   63.0    79.0       0.377  human face     VL   \n",
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       "4       -0.0  223.0  163.0   277.0       0.822  human face     VL   \n",
       "...      ...    ...    ...     ...         ...         ...    ...   \n",
       "14323    0.0   66.0  320.0   262.0       0.924         dog     VL   \n",
       "14324  156.0  366.0  179.0   134.0       0.693         log     VL   \n",
       "14325    2.0    0.0  396.0   374.0       0.938         dog     VL   \n",
       "14326    0.0  224.0  230.0   151.0       0.310      person     VL   \n",
       "14327  137.0   79.0  216.0   152.0       0.974         dog     VL   \n",
       "\n",
       "                                                 caption  \\\n",
       "0               a man with a white shirt and a black tie   \n",
       "1           a woman with a blonde hair and a white shirt   \n",
       "2                             a close up of a cat's face   \n",
       "3                            a brown cat with green eyes   \n",
       "4                                    a man wearing a hat   \n",
       "...                                                  ...   \n",
       "14323       a small dog standing on a rock near a stream   \n",
       "14324          a bird sitting on a rock next to a stream   \n",
       "14325  a small black and brown puppy is being held by...   \n",
       "14326        a small brown dog is being held by a person   \n",
       "14327   a small black and gray dog standing in the grass   \n",
       "\n",
       "                                              filename  \n",
       "0            oxford-iiit-pet/images/Abyssinian_149.jpg  \n",
       "1            oxford-iiit-pet/images/Abyssinian_149.jpg  \n",
       "2            oxford-iiit-pet/images/Abyssinian_149.jpg  \n",
       "3             oxford-iiit-pet/images/Abyssinian_24.jpg  \n",
       "4             oxford-iiit-pet/images/Abyssinian_94.jpg  \n",
       "...                                                ...  \n",
       "14323  oxford-iiit-pet/images/yorkshire_terrier_97.jpg  \n",
       "14324  oxford-iiit-pet/images/yorkshire_terrier_97.jpg  \n",
       "14325  oxford-iiit-pet/images/yorkshire_terrier_58.jpg  \n",
       "14326  oxford-iiit-pet/images/yorkshire_terrier_58.jpg  \n",
       "14327   oxford-iiit-pet/images/yorkshire_terrier_6.jpg  \n",
       "\n",
       "[14328 rows x 9 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "       col_x  row_y  width  height  confidence       label  \\\n",
       "0      459.0   97.0   29.0    34.0       0.888  human face   \n",
       "1      431.0  115.0   31.0    41.0       0.864  human face   \n",
       "2      160.0   76.0   63.0    79.0       0.377  human face   \n",
       "3      446.0   85.0  173.0   203.0       0.379  human face   \n",
       "4       -0.0  223.0  163.0   277.0       0.822  human face   \n",
       "...      ...    ...    ...     ...         ...         ...   \n",
       "14323    0.0   66.0  320.0   262.0       0.924         dog   \n",
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       "\n",
       "                                              filename  \n",
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       "1            oxford-iiit-pet/images/Abyssinian_149.jpg  \n",
       "2            oxford-iiit-pet/images/Abyssinian_149.jpg  \n",
       "3             oxford-iiit-pet/images/Abyssinian_24.jpg  \n",
       "4             oxford-iiit-pet/images/Abyssinian_94.jpg  \n",
       "...                                                ...  \n",
       "14323  oxford-iiit-pet/images/yorkshire_terrier_97.jpg  \n",
       "14324  oxford-iiit-pet/images/yorkshire_terrier_97.jpg  \n",
       "14325  oxford-iiit-pet/images/yorkshire_terrier_58.jpg  \n",
       "14326  oxford-iiit-pet/images/yorkshire_terrier_58.jpg  \n",
       "14327   oxford-iiit-pet/images/yorkshire_terrier_6.jpg  \n",
       "\n",
       "[14328 rows x 7 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.drop(columns=['source', 'caption'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <td>oxford-iiit-pet/images/yorkshire_terrier_97.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14324</th>\n",
       "      <td>156.0</td>\n",
       "      <td>366.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>0.693</td>\n",
       "      <td>log</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_97.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14325</th>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>396.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>0.938</td>\n",
       "      <td>dog</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_58.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14326</th>\n",
       "      <td>0.0</td>\n",
       "      <td>224.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>0.310</td>\n",
       "      <td>person</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_58.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14327</th>\n",
       "      <td>137.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>0.974</td>\n",
       "      <td>dog</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_6.jpg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14328 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       x_top_left  y_top_left  width  height  confidence       label  \\\n",
       "0           459.0        97.0   29.0    34.0       0.888  human face   \n",
       "1           431.0       115.0   31.0    41.0       0.864  human face   \n",
       "2           160.0        76.0   63.0    79.0       0.377  human face   \n",
       "3           446.0        85.0  173.0   203.0       0.379  human face   \n",
       "4            -0.0       223.0  163.0   277.0       0.822  human face   \n",
       "...           ...         ...    ...     ...         ...         ...   \n",
       "14323         0.0        66.0  320.0   262.0       0.924         dog   \n",
       "14324       156.0       366.0  179.0   134.0       0.693         log   \n",
       "14325         2.0         0.0  396.0   374.0       0.938         dog   \n",
       "14326         0.0       224.0  230.0   151.0       0.310      person   \n",
       "14327       137.0        79.0  216.0   152.0       0.974         dog   \n",
       "\n",
       "                                              filename  \n",
       "0            oxford-iiit-pet/images/Abyssinian_149.jpg  \n",
       "1            oxford-iiit-pet/images/Abyssinian_149.jpg  \n",
       "2            oxford-iiit-pet/images/Abyssinian_149.jpg  \n",
       "3             oxford-iiit-pet/images/Abyssinian_24.jpg  \n",
       "4             oxford-iiit-pet/images/Abyssinian_94.jpg  \n",
       "...                                                ...  \n",
       "14323  oxford-iiit-pet/images/yorkshire_terrier_97.jpg  \n",
       "14324  oxford-iiit-pet/images/yorkshire_terrier_97.jpg  \n",
       "14325  oxford-iiit-pet/images/yorkshire_terrier_58.jpg  \n",
       "14326  oxford-iiit-pet/images/yorkshire_terrier_58.jpg  \n",
       "14327   oxford-iiit-pet/images/yorkshire_terrier_6.jpg  \n",
       "\n",
       "[14328 rows x 7 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.rename(columns={'col_x': 'x_top_left', 'row_y': 'y_top_left'})\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>video</th>\n",
       "      <th>frame_timestamp</th>\n",
       "      <th>filename</th>\n",
       "      <th>caption</th>\n",
       "      <th>ann_index</th>\n",
       "      <th>label</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>oxford-iiit-pet/images/Abyssinian_144.jpg</td>\n",
       "      <td>a cat standing on a wooden floor next to a glass</td>\n",
       "      <td>49.0</td>\n",
       "      <td>[cat]</td>\n",
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       "      <td>None</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>oxford-iiit-pet/images/Abyssinian_10.jpg</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>oxford-iiit-pet/images/Abyssinian_155.jpg</td>\n",
       "      <td>a cat yawning on a couch</td>\n",
       "      <td>1856.0</td>\n",
       "      <td>[cat]</td>\n",
       "      <td>[1]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>oxford-iiit-pet/images/Abyssinian_101.jpg</td>\n",
       "      <td>a cat with green eyes is laying on a green bla...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>[cat]</td>\n",
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       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None</td>\n",
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       "      <td>oxford-iiit-pet/images/Abyssinian_156.jpg</td>\n",
       "      <td>a cat is sitting on a couch</td>\n",
       "      <td>1857.0</td>\n",
       "      <td>[cat]</td>\n",
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       "      <td>None</td>\n",
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       "    <tr>\n",
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       "      <th>7304</th>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_99.jpg</td>\n",
       "      <td>a small dog standing on a sidewalk</td>\n",
       "      <td>7348.0</td>\n",
       "      <td>[dog]</td>\n",
       "      <td>[2]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7305</th>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_56.jpg</td>\n",
       "      <td>a small dog is standing in the grass</td>\n",
       "      <td>7301.0</td>\n",
       "      <td>[dog]</td>\n",
       "      <td>[2]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7306</th>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_97.jpg</td>\n",
       "      <td>a small dog is standing on a rock</td>\n",
       "      <td>7346.0</td>\n",
       "      <td>[dog]</td>\n",
       "      <td>[2]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7307</th>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_58.jpg</td>\n",
       "      <td>a small black and brown puppy is being held by...</td>\n",
       "      <td>7303.0</td>\n",
       "      <td>[dog]</td>\n",
       "      <td>[2]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7308</th>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>oxford-iiit-pet/images/yorkshire_terrier_6.jpg</td>\n",
       "      <td>a small black and gray dog standing in the grass</td>\n",
       "      <td>7316.0</td>\n",
       "      <td>[dog]</td>\n",
       "      <td>[2]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7309 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     video  frame_timestamp                                         filename  \\\n",
       "0     None              NaN        oxford-iiit-pet/images/Abyssinian_144.jpg   \n",
       "1     None              NaN         oxford-iiit-pet/images/Abyssinian_10.jpg   \n",
       "2     None              NaN        oxford-iiit-pet/images/Abyssinian_155.jpg   \n",
       "3     None              NaN        oxford-iiit-pet/images/Abyssinian_101.jpg   \n",
       "4     None              NaN        oxford-iiit-pet/images/Abyssinian_156.jpg   \n",
       "...    ...              ...                                              ...   \n",
       "7304  None              NaN  oxford-iiit-pet/images/yorkshire_terrier_99.jpg   \n",
       "7305  None              NaN  oxford-iiit-pet/images/yorkshire_terrier_56.jpg   \n",
       "7306  None              NaN  oxford-iiit-pet/images/yorkshire_terrier_97.jpg   \n",
       "7307  None              NaN  oxford-iiit-pet/images/yorkshire_terrier_58.jpg   \n",
       "7308  None              NaN   oxford-iiit-pet/images/yorkshire_terrier_6.jpg   \n",
       "\n",
       "                                                caption  ann_index  label  \\\n",
       "0      a cat standing on a wooden floor next to a glass       49.0  [cat]   \n",
       "1                                 a cat laying on a bed       11.0  [cat]   \n",
       "2                              a cat yawning on a couch     1856.0  [cat]   \n",
       "3     a cat with green eyes is laying on a green bla...        2.0  [cat]   \n",
       "4                           a cat is sitting on a couch     1857.0  [cat]   \n",
       "...                                                 ...        ...    ...   \n",
       "7304                 a small dog standing on a sidewalk     7348.0  [dog]   \n",
       "7305               a small dog is standing in the grass     7301.0  [dog]   \n",
       "7306                  a small dog is standing on a rock     7346.0  [dog]   \n",
       "7307  a small black and brown puppy is being held by...     7303.0  [dog]   \n",
       "7308   a small black and gray dog standing in the grass     7316.0  [dog]   \n",
       "\n",
       "     class_id vl_label vl_class_id  \n",
       "0         [1]     None        None  \n",
       "1         [1]     None        None  \n",
       "2         [1]     None        None  \n",
       "3         [1]     None        None  \n",
       "4         [1]     None        None  \n",
       "...       ...      ...         ...  \n",
       "7304      [2]     None        None  \n",
       "7305      [2]     None        None  \n",
       "7306      [2]     None        None  \n",
       "7307      [2]     None        None  \n",
       "7308      [2]     None        None  \n",
       "\n",
       "[7309 rows x 9 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_parquet('image_annotations.parquet')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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