Kangaroo Dataset

This is a dataset with 520 annotations of kangaroos in different contexts. The repository contains the annotations in the XML format, the images, and 2 CSVs containing the data already split in train and test (80%-20%).

The CSVs have 9 columns:

• Filename: image name
• width: image width
• height: image height
• class: image class (kangaroo)
• xmin: Minimum bounding box x coordinate value
• ymin: Minimum bounding box y coordinate value
• xmax: Maximum value of the x coordinate of the bounding box
• ymax: Maximum value of the y coordinate of the bounding box
• source: Image source

Converting images to tf record

To convert the images to TF record to train a model using the TensorFlow API, use the script generate_tf_records.py. It's necessary to install the requirements and the TensorFlow object detection API first

License

The images used in this dataset are publicly available on the web and may have different licenses. To verify the license for a particular image, please refer to the source column in the test_labels.csv and train_labels.csv.