models/research/object_detection/g3doc/preparing_inputs.md

# 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 TFRecords, 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 10-sharded TFRecord files named
`pet_faces_train.record-?????-of-00010` and
`pet_faces_val.record-?????-of-00010` in the `tensorflow/models/research/`
directory.

The label map for the Pet dataset can be found at
`object_detection/data/pet_label_map.pbtxt`.