text: # Preparing Inputs
  
  Tensorflow Object Detection API reads data using the TFRecord file format. Two
  sample scripts (`create_pascal_tf_record.py` and `create_pet_tf_record.py`) are
  provided to convert from the PASCAL VOC dataset and Oxford-IIIT Pet dataset to
  TFRecords.
  
  ## Generating the PASCAL VOC TFRecord files.
  
  The raw 2012 PASCAL VOC data set is located
  [here](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar).
  To download, extract and convert it to TFRecords, run the following commands
  below:
  
  ```bash
  # From tensorflow/models/research/
  wget http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar
  tar -xvf VOCtrainval_11-May-2012.tar
  python object_detection/dataset_tools/create_pascal_tf_record.py \
      --label_map_path=object_detection/data/pascal_label_map.pbtxt \
      --data_dir=VOCdevkit --year=VOC2012 --set=train \
      --output_path=pascal_train.record
  python object_detection/dataset_tools/create_pascal_tf_record.py \
      --label_map_path=object_detection/data/pascal_label_map.pbtxt \
      --data_dir=VOCdevkit --year=VOC2012 --set=val \
      --output_path=pascal_val.record
  ```
  
  You should end up with two TFRecord files named `pascal_train.record` and
  `pascal_val.record` in the `tensorflow/models/research/` directory.
  
  The label map for the PASCAL VOC data set can be found at
  `object_detection/data/pascal_label_map.pbtxt`.
  
  ## Generating the Oxford-IIIT Pet TFRecord files.
  
  The Oxford-IIIT Pet data set is located
  [here](http://www.robots.ox.ac.uk/~vgg/data/pets/). To download, extract and
  convert it to TFRecrods, run the following commands below:
  
  ```bash
  # From tensorflow/models/research/
  wget http://www.robots.ox.ac.uk/~vgg/data/pets/data/images.tar.gz
  wget http://www.robots.ox.ac.uk/~vgg/data/pets/data/annotations.tar.gz
  tar -xvf annotations.tar.gz
  tar -xvf images.tar.gz
  python object_detection/dataset_tools/create_pet_tf_record.py \
      --label_map_path=object_detection/data/pet_label_map.pbtxt \
      --data_dir=`pwd` \
      --output_dir=`pwd`
  ```
  
  You should end up with two TFRecord files named `pet_train.record` and
  `pet_val.record` in the `tensorflow/models/research/` directory.
  
  The label map for the Pet dataset can be found at
  `object_detection/data/pet_label_map.pbtxt`.
  