Datasets:
remove checksum duplicates (incl. mislabel)
Browse filesOne image was duplicated with two different labels and both copies were removed
notebooks/lilabc_test-ohio-small-animal.ipynb
CHANGED
@@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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-
"execution_count":
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -1739,6 +1739,594 @@
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1739 |
"Rerun the balanced set part as well."
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]
|
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},
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|
1742 |
{
|
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"cell_type": "code",
|
1744 |
"execution_count": null,
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2 |
"cells": [
|
3 |
{
|
4 |
"cell_type": "code",
|
5 |
+
"execution_count": 12,
|
6 |
"metadata": {},
|
7 |
"outputs": [],
|
8 |
"source": [
|
|
|
1739 |
"Rerun the balanced set part as well."
|
1740 |
]
|
1741 |
},
|
1742 |
+
{
|
1743 |
+
"cell_type": "markdown",
|
1744 |
+
"metadata": {},
|
1745 |
+
"source": [
|
1746 |
+
"## After download, duplicate images were detected\n",
|
1747 |
+
"\n",
|
1748 |
+
"Need to analyze and remove."
|
1749 |
+
]
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"cell_type": "code",
|
1753 |
+
"execution_count": 13,
|
1754 |
+
"metadata": {},
|
1755 |
+
"outputs": [],
|
1756 |
+
"source": [
|
1757 |
+
"df = pd.read_csv(\"../data/potential-test-sets/filtered/ohio-small-animals-upper-bound.csv\", low_memory=False)\n",
|
1758 |
+
"df_checksums = pd.read_csv(\"../data/potential-test-sets/filtered/ohio-small-animals-upper-bound_checksums.csv\", low_memory=False)"
|
1759 |
+
]
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"cell_type": "code",
|
1763 |
+
"execution_count": 14,
|
1764 |
+
"metadata": {},
|
1765 |
+
"outputs": [
|
1766 |
+
{
|
1767 |
+
"name": "stdout",
|
1768 |
+
"output_type": "stream",
|
1769 |
+
"text": [
|
1770 |
+
"70848 70848\n",
|
1771 |
+
"70848 filename 70848\n",
|
1772 |
+
"md5 70836\n",
|
1773 |
+
"dtype: int64\n"
|
1774 |
+
]
|
1775 |
+
}
|
1776 |
+
],
|
1777 |
+
"source": [
|
1778 |
+
"print(df.shape[0], df[\"filename\"].nunique())\n",
|
1779 |
+
"print(df_checksums.shape[0], df_checksums[[\"filename\", \"md5\"]].nunique())"
|
1780 |
+
]
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"cell_type": "code",
|
1784 |
+
"execution_count": 15,
|
1785 |
+
"metadata": {},
|
1786 |
+
"outputs": [
|
1787 |
+
{
|
1788 |
+
"data": {
|
1789 |
+
"text/plain": [
|
1790 |
+
"(70848, 22)"
|
1791 |
+
]
|
1792 |
+
},
|
1793 |
+
"execution_count": 15,
|
1794 |
+
"metadata": {},
|
1795 |
+
"output_type": "execute_result"
|
1796 |
+
}
|
1797 |
+
],
|
1798 |
+
"source": [
|
1799 |
+
"df_full = pd.merge(df,\n",
|
1800 |
+
" df_checksums,\n",
|
1801 |
+
" on = \"filename\",\n",
|
1802 |
+
" how = \"inner\"\n",
|
1803 |
+
" )\n",
|
1804 |
+
"df_full.shape"
|
1805 |
+
]
|
1806 |
+
},
|
1807 |
+
{
|
1808 |
+
"cell_type": "code",
|
1809 |
+
"execution_count": 17,
|
1810 |
+
"metadata": {},
|
1811 |
+
"outputs": [
|
1812 |
+
{
|
1813 |
+
"data": {
|
1814 |
+
"text/plain": [
|
1815 |
+
"scientific_name\n",
|
1816 |
+
"coluber constrictor 12\n",
|
1817 |
+
"thamnophis sirtalis sirtalis 10\n",
|
1818 |
+
"peromyscus leucopus 1\n",
|
1819 |
+
"napaeozapus insignis 1\n",
|
1820 |
+
"Name: count, dtype: int64"
|
1821 |
+
]
|
1822 |
+
},
|
1823 |
+
"execution_count": 17,
|
1824 |
+
"metadata": {},
|
1825 |
+
"output_type": "execute_result"
|
1826 |
+
}
|
1827 |
+
],
|
1828 |
+
"source": [
|
1829 |
+
"df_full[\"dupe_img\"] = df_full.duplicated([\"md5\"], keep = False)\n",
|
1830 |
+
"df_full.loc[df_full[\"dupe_img\"], \"scientific_name\"].value_counts()"
|
1831 |
+
]
|
1832 |
+
},
|
1833 |
+
{
|
1834 |
+
"cell_type": "markdown",
|
1835 |
+
"metadata": {},
|
1836 |
+
"source": [
|
1837 |
+
"Do these have conflicting labels?\n",
|
1838 |
+
"\n",
|
1839 |
+
"It would seem so, since [napaeozapus insignis](https://eol.org/pages/328468) and [peromyscus leucopus](https://eol.org/pages/310653) are quite similar in appearance (little brown mice)."
|
1840 |
+
]
|
1841 |
+
},
|
1842 |
+
{
|
1843 |
+
"cell_type": "code",
|
1844 |
+
"execution_count": 19,
|
1845 |
+
"metadata": {},
|
1846 |
+
"outputs": [
|
1847 |
+
{
|
1848 |
+
"data": {
|
1849 |
+
"text/plain": [
|
1850 |
+
"array(['58e0d98fdc5bbe326a0dfb0656b5910b',\n",
|
1851 |
+
" '58e0d98fdc5bbe326a0dfb0656b5910b'], dtype=object)"
|
1852 |
+
]
|
1853 |
+
},
|
1854 |
+
"execution_count": 19,
|
1855 |
+
"metadata": {},
|
1856 |
+
"output_type": "execute_result"
|
1857 |
+
}
|
1858 |
+
],
|
1859 |
+
"source": [
|
1860 |
+
"df_full.loc[(df_full[\"dupe_img\"]) & (df_full[\"scientific_name\"].isin([\"napaeozapus insignis\", \"peromyscus leucopus\"])), \"md5\"].values"
|
1861 |
+
]
|
1862 |
+
},
|
1863 |
+
{
|
1864 |
+
"cell_type": "code",
|
1865 |
+
"execution_count": 20,
|
1866 |
+
"metadata": {},
|
1867 |
+
"outputs": [
|
1868 |
+
{
|
1869 |
+
"data": {
|
1870 |
+
"text/plain": [
|
1871 |
+
"array(['http://us-west-2.opendata.source.coop.s3.amazonaws.com/agentmorris/lila-wildlife/osu-small-animals/Images/Sorted_by_species/Mammalia/White-footed Mouse/YWS3_peromyscus_leucopus (37).JPG',\n",
|
1872 |
+
" 'http://us-west-2.opendata.source.coop.s3.amazonaws.com/agentmorris/lila-wildlife/osu-small-animals/Images/Sorted_by_species/Mammalia/Woodland Jumping Mouse/YWS3_napaeozapus_insignis (5).JPG'],\n",
|
1873 |
+
" dtype=object)"
|
1874 |
+
]
|
1875 |
+
},
|
1876 |
+
"execution_count": 20,
|
1877 |
+
"metadata": {},
|
1878 |
+
"output_type": "execute_result"
|
1879 |
+
}
|
1880 |
+
],
|
1881 |
+
"source": [
|
1882 |
+
"df_full.loc[(df_full[\"dupe_img\"]) & (df_full[\"scientific_name\"].isin([\"napaeozapus insignis\", \"peromyscus leucopus\"])), \"url_aws\"].values"
|
1883 |
+
]
|
1884 |
+
},
|
1885 |
+
{
|
1886 |
+
"cell_type": "code",
|
1887 |
+
"execution_count": 18,
|
1888 |
+
"metadata": {},
|
1889 |
+
"outputs": [
|
1890 |
+
{
|
1891 |
+
"data": {
|
1892 |
+
"text/plain": [
|
1893 |
+
"scientific_name\n",
|
1894 |
+
"peromyscus leucopus 10000\n",
|
1895 |
+
"thamnophis sirtalis sirtalis 10000\n",
|
1896 |
+
"napaeozapus insignis 1510\n",
|
1897 |
+
"coluber constrictor 293\n",
|
1898 |
+
"Name: count, dtype: int64"
|
1899 |
+
]
|
1900 |
+
},
|
1901 |
+
"execution_count": 18,
|
1902 |
+
"metadata": {},
|
1903 |
+
"output_type": "execute_result"
|
1904 |
+
}
|
1905 |
+
],
|
1906 |
+
"source": [
|
1907 |
+
"duplicated_sci_names = [\"coluber constrictor\",\n",
|
1908 |
+
" \"thamnophis sirtalis sirtalis\",\n",
|
1909 |
+
" \"peromyscus leucopus\",\n",
|
1910 |
+
" \"napaeozapus insignis\"]\n",
|
1911 |
+
"df_full.loc[df_full[\"scientific_name\"].isin(duplicated_sci_names), \"scientific_name\"].value_counts()"
|
1912 |
+
]
|
1913 |
+
},
|
1914 |
+
{
|
1915 |
+
"cell_type": "markdown",
|
1916 |
+
"metadata": {},
|
1917 |
+
"source": [
|
1918 |
+
"They are all well-enough represented to still be in all datasets if we remove the duplicates. We'll drop both mice since we don't know which is the correct species classification ([image](http://us-west-2.opendata.source.coop.s3.amazonaws.com/agentmorris/lila-wildlife/osu-small-animals/Images/Sorted_by_species/Mammalia/White-footed%20Mouse/YWS3_peromyscus_leucopus%20(37).JPG) is basically a tail)."
|
1919 |
+
]
|
1920 |
+
},
|
1921 |
+
{
|
1922 |
+
"cell_type": "code",
|
1923 |
+
"execution_count": 22,
|
1924 |
+
"metadata": {},
|
1925 |
+
"outputs": [
|
1926 |
+
{
|
1927 |
+
"data": {
|
1928 |
+
"text/plain": [
|
1929 |
+
"(70846, 23)"
|
1930 |
+
]
|
1931 |
+
},
|
1932 |
+
"execution_count": 22,
|
1933 |
+
"metadata": {},
|
1934 |
+
"output_type": "execute_result"
|
1935 |
+
}
|
1936 |
+
],
|
1937 |
+
"source": [
|
1938 |
+
"df_filter = df_full.loc[df_full[\"md5\"] != '58e0d98fdc5bbe326a0dfb0656b5910b'].copy()\n",
|
1939 |
+
"df_filter.shape"
|
1940 |
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]
|
1941 |
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},
|
1942 |
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{
|
1943 |
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"cell_type": "code",
|
1944 |
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"execution_count": 23,
|
1945 |
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"metadata": {},
|
1946 |
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"outputs": [
|
1947 |
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{
|
1948 |
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"data": {
|
1949 |
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"text/plain": [
|
1950 |
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"(70835, 23)"
|
1951 |
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]
|
1952 |
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},
|
1953 |
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"execution_count": 23,
|
1954 |
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"metadata": {},
|
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|
1956 |
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}
|
1957 |
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],
|
1958 |
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"source": [
|
1959 |
+
"df_filter[\"dupe_img\"] = df_filter.duplicated([\"md5\"], keep = \"first\")\n",
|
1960 |
+
"df_reduced = df_filter.loc[~df_filter[\"dupe_img\"]].copy()\n",
|
1961 |
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"df_reduced.shape"
|
1962 |
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]
|
1963 |
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|
1964 |
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{
|
1965 |
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"cell_type": "code",
|
1966 |
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|
1967 |
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"metadata": {},
|
1968 |
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"outputs": [
|
1969 |
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{
|
1970 |
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"data": {
|
1971 |
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"text/plain": [
|
1972 |
+
"Index(['dataset_name', 'url_gcp', 'url_aws', 'url_azure', 'image_id',\n",
|
1973 |
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" 'sequence_id', 'location_id', 'frame_num', 'original_label',\n",
|
1974 |
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|
1975 |
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" 'family', 'genus', 'species', 'num_sp_images', 'filename', 'filepath',\n",
|
1976 |
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" 'md5', 'dupe_img'],\n",
|
1977 |
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" dtype='object')"
|
1978 |
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]
|
1979 |
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},
|
1980 |
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"execution_count": 27,
|
1981 |
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"metadata": {},
|
1982 |
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"output_type": "execute_result"
|
1983 |
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}
|
1984 |
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],
|
1985 |
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"source": [
|
1986 |
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|
1987 |
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]
|
1988 |
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|
1989 |
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{
|
1990 |
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"cell_type": "markdown",
|
1991 |
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"metadata": {},
|
1992 |
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"source": [
|
1993 |
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"Update Number of Species images counts"
|
1994 |
+
]
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"cell_type": "code",
|
1998 |
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"execution_count": 28,
|
1999 |
+
"metadata": {},
|
2000 |
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"outputs": [],
|
2001 |
+
"source": [
|
2002 |
+
"for sci_name in duplicated_sci_names:\n",
|
2003 |
+
" df_reduced.loc[df_reduced[\"scientific_name\"] == sci_name, \"num_sp_images\"] = df_reduced.loc[df_reduced[\"scientific_name\"] == sci_name].shape[0]"
|
2004 |
+
]
|
2005 |
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},
|
2006 |
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{
|
2007 |
+
"cell_type": "markdown",
|
2008 |
+
"metadata": {},
|
2009 |
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"source": [
|
2010 |
+
"#### Now save and reduce other two files\n",
|
2011 |
+
"Don't need the `dupe_img` column."
|
2012 |
+
]
|
2013 |
+
},
|
2014 |
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{
|
2015 |
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"cell_type": "code",
|
2016 |
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"execution_count": 29,
|
2017 |
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"metadata": {},
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|
2020 |
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|
2038 |
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" <tr style=\"text-align: right;\">\n",
|
2039 |
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" <th></th>\n",
|
2040 |
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" <th>dataset_name</th>\n",
|
2041 |
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" <th>url_gcp</th>\n",
|
2042 |
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" <th>url_aws</th>\n",
|
2043 |
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" <th>url_azure</th>\n",
|
2044 |
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|
2045 |
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|
2046 |
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|
2047 |
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|
2048 |
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|
2049 |
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|
2050 |
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|
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|
2054 |
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|
2055 |
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|
2056 |
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" <th>species</th>\n",
|
2057 |
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" <th>num_sp_images</th>\n",
|
2058 |
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" <th>filename</th>\n",
|
2059 |
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" <th>filepath</th>\n",
|
2060 |
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|
2061 |
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|
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|
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|
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|
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|
2066 |
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2067 |
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2070 |
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|
2071 |
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2079 |
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2083 |
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|
2084 |
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" <td>OH_sm_animals_BIWA3N_2020-07-12_06-50-28.JPG</td>\n",
|
2085 |
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" <td>ohio-small-animals/lithobates catesbeianus/OH_...</td>\n",
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|
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|
2089 |
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|
2090 |
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|
2091 |
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|
2092 |
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|
2093 |
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|
2094 |
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|
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|
2098 |
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|
2099 |
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" <td>lithobates catesbeianus</td>\n",
|
2100 |
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" <td>...</td>\n",
|
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|
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|
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|
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|
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|
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|
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|
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" <tr>\n",
|
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|
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|
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|
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|
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|
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|
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|
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|
2137 |
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|
2138 |
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|
2139 |
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|
2140 |
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|
2141 |
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" <td>https://lilawildlife.blob.core.windows.net/lil...</td>\n",
|
2142 |
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" <td>Ohio Small Animals : Images/Sorted_by_species/...</td>\n",
|
2143 |
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" <td>Ohio Small Animals : location_BIWA4N_sequence_...</td>\n",
|
2144 |
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" <td>Ohio Small Animals : BIWA4N</td>\n",
|
2145 |
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|
2146 |
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|
2147 |
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|
2148 |
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|
2149 |
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|
2150 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
2161 |
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|
2162 |
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|
2163 |
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|
2164 |
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|
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|
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|
2167 |
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|
2168 |
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|
2169 |
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|
2170 |
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|
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|
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|
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|
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|
2175 |
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|
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|
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|
2178 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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],
|
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|
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" dataset_name url_gcp \\\n",
|
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|
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|
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|
2194 |
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"3 Ohio Small Animals https://storage.googleapis.com/public-datasets... \n",
|
2195 |
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"4 Ohio Small Animals https://storage.googleapis.com/public-datasets... \n",
|
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"\n",
|
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" url_aws \\\n",
|
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"0 http://us-west-2.opendata.source.coop.s3.amazo... \n",
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"\n",
|
2211 |
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" image_id \\\n",
|
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"0 Ohio Small Animals : Images/Sorted_by_species/... \n",
|
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"1 Ohio Small Animals : Images/Sorted_by_species/... \n",
|
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|
2215 |
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|
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|
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"\n",
|
2218 |
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" sequence_id \\\n",
|
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"0 Ohio Small Animals : location_BIWA3N_sequence_... \n",
|
2220 |
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"1 Ohio Small Animals : location_BIWA3N_sequence_... \n",
|
2221 |
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"2 Ohio Small Animals : location_BIWA3N_sequence_... \n",
|
2222 |
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"3 Ohio Small Animals : location_BIWA4N_sequence_... \n",
|
2223 |
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"4 Ohio Small Animals : location_BIWA4N_sequence_... \n",
|
2224 |
+
"\n",
|
2225 |
+
" location_id frame_num original_label \\\n",
|
2226 |
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"0 Ohio Small Animals : BIWA3N 0 american_bullfrog \n",
|
2227 |
+
"1 Ohio Small Animals : BIWA3N 1 american_bullfrog \n",
|
2228 |
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"2 Ohio Small Animals : BIWA3N 2 american_bullfrog \n",
|
2229 |
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"3 Ohio Small Animals : BIWA4N 0 american_bullfrog \n",
|
2230 |
+
"4 Ohio Small Animals : BIWA4N 1 american_bullfrog \n",
|
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"\n",
|
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" scientific_name ... phylum class order family \\\n",
|
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|
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|
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|
2236 |
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"3 lithobates catesbeianus ... chordata amphibia anura ranidae \n",
|
2237 |
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"4 lithobates catesbeianus ... chordata amphibia anura ranidae \n",
|
2238 |
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"\n",
|
2239 |
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" genus species num_sp_images \\\n",
|
2240 |
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"0 lithobates lithobates catesbeianus 12.0 \n",
|
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|
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|
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|
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"4 lithobates lithobates catesbeianus 12.0 \n",
|
2245 |
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"\n",
|
2246 |
+
" filename \\\n",
|
2247 |
+
"0 OH_sm_animals_BIWA3N_2020-07-12_06-50-28.JPG \n",
|
2248 |
+
"1 OH_sm_animals_BIWA3N_2020-07-12_06-50-29.JPG \n",
|
2249 |
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|
2250 |
+
"3 OH_sm_animals_BIWA4N_2020-07-20_02-03-45.JPG \n",
|
2251 |
+
"4 OH_sm_animals_BIWA4N_2020-07-20_02-03-46.JPG \n",
|
2252 |
+
"\n",
|
2253 |
+
" filepath \\\n",
|
2254 |
+
"0 ohio-small-animals/lithobates catesbeianus/OH_... \n",
|
2255 |
+
"1 ohio-small-animals/lithobates catesbeianus/OH_... \n",
|
2256 |
+
"2 ohio-small-animals/lithobates catesbeianus/OH_... \n",
|
2257 |
+
"3 ohio-small-animals/lithobates catesbeianus/OH_... \n",
|
2258 |
+
"4 ohio-small-animals/lithobates catesbeianus/OH_... \n",
|
2259 |
+
"\n",
|
2260 |
+
" md5 \n",
|
2261 |
+
"0 8dfcd2f7cf855b94c191baead05b904e \n",
|
2262 |
+
"1 7fb71f74e311bcc59d12a6c1d3a5f564 \n",
|
2263 |
+
"2 599fd8843e098432bb1664c4366b4844 \n",
|
2264 |
+
"3 6f7e9e8c72d2bbd1af3118e6058f321f \n",
|
2265 |
+
"4 8e77e782f40299f3d202c48aa42d6be6 \n",
|
2266 |
+
"\n",
|
2267 |
+
"[5 rows x 22 columns]"
|
2268 |
+
]
|
2269 |
+
},
|
2270 |
+
"execution_count": 29,
|
2271 |
+
"metadata": {},
|
2272 |
+
"output_type": "execute_result"
|
2273 |
+
}
|
2274 |
+
],
|
2275 |
+
"source": [
|
2276 |
+
"df_reduced.drop(columns = [\"dupe_img\"], inplace=True)\n",
|
2277 |
+
"df_reduced.head()"
|
2278 |
+
]
|
2279 |
+
},
|
2280 |
+
{
|
2281 |
+
"cell_type": "code",
|
2282 |
+
"execution_count": 30,
|
2283 |
+
"metadata": {},
|
2284 |
+
"outputs": [],
|
2285 |
+
"source": [
|
2286 |
+
"df_reduced.to_csv(\"../data/potential-test-sets/filtered/ohio-small-animals-upper-bound.csv\", index = False)\n",
|
2287 |
+
"df_reduced_upper_lower = df_reduced.loc[df_reduced[\"num_sp_images\"] >= 10].copy()\n",
|
2288 |
+
"df_reduced_upper_lower.to_csv(\"../data/potential-test-sets/filtered/ohio-small-animals-upper-lower-bound.csv\", index = False)"
|
2289 |
+
]
|
2290 |
+
},
|
2291 |
+
{
|
2292 |
+
"cell_type": "code",
|
2293 |
+
"execution_count": 31,
|
2294 |
+
"metadata": {},
|
2295 |
+
"outputs": [
|
2296 |
+
{
|
2297 |
+
"data": {
|
2298 |
+
"text/plain": [
|
2299 |
+
"468"
|
2300 |
+
]
|
2301 |
+
},
|
2302 |
+
"execution_count": 31,
|
2303 |
+
"metadata": {},
|
2304 |
+
"output_type": "execute_result"
|
2305 |
+
}
|
2306 |
+
],
|
2307 |
+
"source": [
|
2308 |
+
"balanced_set = []\n",
|
2309 |
+
"for sci_name in list(df_reduced[\"scientific_name\"].unique()):\n",
|
2310 |
+
" temp = df_reduced.loc[df_reduced[\"scientific_name\"] == sci_name].copy()\n",
|
2311 |
+
" if temp.shape[0] < 12:\n",
|
2312 |
+
" continue\n",
|
2313 |
+
" sample_set = list(temp.sample(12, random_state = 614)[\"image_id\"])\n",
|
2314 |
+
" balanced_set = balanced_set + sample_set\n",
|
2315 |
+
"\n",
|
2316 |
+
"len(balanced_set)"
|
2317 |
+
]
|
2318 |
+
},
|
2319 |
+
{
|
2320 |
+
"cell_type": "code",
|
2321 |
+
"execution_count": 32,
|
2322 |
+
"metadata": {},
|
2323 |
+
"outputs": [],
|
2324 |
+
"source": [
|
2325 |
+
"df_balanced = df_reduced.loc[df_reduced[\"image_id\"].isin(balanced_set)].copy()\n",
|
2326 |
+
"df_balanced.drop(columns = [\"num_sp_images\"], inplace = True)\n",
|
2327 |
+
"df_balanced.to_csv(\"../data/potential-test-sets/filtered/ohio-small-animals-balanced.csv\", index = False)"
|
2328 |
+
]
|
2329 |
+
},
|
2330 |
{
|
2331 |
"cell_type": "code",
|
2332 |
"execution_count": null,
|