Leopard ID 2022

Overview

This data set contains images of African leopards (Panthera pardus) with bounding boxes and individual animal identifications. This dataset represents a collaborative effort based on the data collection and population modeling efforts conducted by Botswana Predator Conservation Trust and Kasim Rafiq from 2011-2022. Photos (6,795) and metadata from various leopard encounters were collected. Images were annotated with bounding boxes around each visible leopard and viewpoints were labeled (e.g., left, right, etc.). A total of 430 individual leopard were identified by their unique spot patterning using first computer-assisted spot pattern recognition and then manual review and confirmation. A total of 6,805 named sightings were exported.

Data format

The dataset is released in the Microsoft COCO format and therefore uses flat image folders with associated YAML metadata files. We have collapsed the entire dataset into a single “train” label and have left “val” and “test” empty; we do this as an invitation to researchers to experiment with their own novel approaches for dealing with the unbalanced and chaotic distribution on the number of sightings per individual. All of the images in the dataset have been resized to have a maximum dimension of 2,400 pixels. The metadata for all animal sightings is defined by an axis-aligned bounding box and includes information on the rotation of the box (theta), the viewpoint of the animal, a species (category) ID, a source image ID, an individual string ID name, and other miscellaneous values. The temporal ordering of the images can be determined from the metadata for each image.

Citation, license, and contact information

For research or press contact, please direct all correspondence to Wild Me at info@wildme.org. Wild Me is a registered 501(c)(3) not-for-profit based in Portland, Oregon, USA and brings state-of-the-art computer vision tools to ecology researchers working around the globe on wildlife conservation.

This dataset is released under the Community Data License Agreement (permissive variant).

If you use this dataset in published work, please cite as:

For research or press contact, please direct all correspondence to Wild Me at info@wildme.org. Wild Me is a registered 501(c)(3) not-for-profit based in Portland, Oregon, USA and brings state-of-the-art computer vision tools to ecology researchers working around the globe on wildlife conservation.

This dataset is released under the Community Data License Agreement (permissive variant).

If you use this dataset in published work, please cite as:

Botswana Predator Conservation Trust (2022). Panthera pardus CSV custom export. Retrieved from African Carnivore Wildbook 2022-04-28.

Downloading the data

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Posted by Dan Morris.