Kaggle competition: Open Images 2019 - Object Detection
<SOS> metric: OpenImagesObjectDetectionAP Kaggle data source: open-images-2019-object-detection<set_options>
%matplotlib inline<define_variables>
df1=pd.read_csv('/kaggle/input/kernel6e40bb3926/submission1.csv')
 df2a=pd.read_csv('/kaggle/input/part2a/submission2a.csv')
 df2b=pd.read_csv('/kaggle/input/part2b/submission2b.csv')
 df3a=pd.read_csv('/kaggle/input/part3a/submission1.csv')
 df3b=pd.read_csv('/kaggle/input/part3b/submission3b.csv')
 df4=pd.read_csv('/kaggle/input/part4/submission4.csv')
np.random.seed(2019)
 tf.set_random_seed(2019 )<load_from_csv>
df_final=pd.concat([df1, df2a, df2b, df3a, df3b, df4])
 df_final.head()
<train_model><EOS> 
df_final.to_csv('submission.csv',index=None )