DOTA

Format specification

DOTA is a collection of 2K aerial images for a rotated object detection task. Each objects are annotated with 4 coordinates for representing oriented bounding boxes, a label among 15 classes (baseball-diamond, basketball-court, bridge, ground-track-field, harbor, helicopter, large-vehicle, plane, roundabout, ship, small-vehicle, soccer-ball-field, storage-tank, swimming-pool, tennis-court) and a difficulty.

Import DOTA dataset

A Datumaro project with a DOTA source can be created in the following way:

datum project create
datum project import --format dota <path/to/dataset>

Or, using Python API:

import datumaro as dm

dataset = dm.Dataset.import_from('<path/to/dataset>', 'dota')

Directory structure

dota/
├── train                     # Subset directory
│   ├── images
│   │   ├── img1.jpg          # Image file
│   │   ├── img2.jpg          # Image file
│   │   └── ...
│   ├── labelTxt
│   │   ├── img1.txt          # Annotation file
│   │   ├── img2.txt          # Annotation file
│   │   └── ...
├── val                       # Subset directory
│   ├── images
│   │   ├── img3.jpg          # Image file
│   │   ├── img4.jpg          # Image file
│   │   └── ...
│   ├── labelTxt
│   │   ├── img3.txt          # Annotation file
│   │   ├── img4.txt          # Annotation file
│   │   └── ...
└── ...

Annotation Txt file

The example of <image_id>.txt is given by DOTA annotation format.