IAPR endorsed CVIP-2018 on Feb 12, 2018 | Paper Submission date extented upto April 30, 2018 | Proceedings will be published through Springer

Challenges

  • Problem definition:

The task involves a supervised classification of bird species from a set of bird images.

  • Relevance:

From an ecological and environmental point of view, monitoring bird diversity is an important task. While bird monitoring is a well-established process, the observation is largely carried out manually which is time-consuming, and hence the scalability is low. This has motivated the use of machine learning methods to analyze bird images and sounds, using camera-trap data, recorder data or crowd-sourcing. In this challenge, we pose the bird image classification task, especially for Himalayan birds, based on a limited but a diverse set of crowd-sourced data. Especially, the present challenge involves a fairly low amount of labelled data, and may require transfer learning based approaches for effective classification.

  • A short overview of the existing work on the problem:

There are various approaches developed for bird image classification which mainly involve the Caltech bird image dataset. However, in this challenge we are providing a dataset, which, while smaller has a larger variation in terms of scale, illumination etc.

  • Evaluation protocol:

The challenge data distribution will be divided in two phases. First, the training data will be made available, which the participants can use to train and validate their methods. After a few weeks, and closer to the result submission deadline, a test data will be made available. The results will be decided on the F-score metric averaged across classes, which involves True-positives and False-positives.


  • Description of the data:

The data consists of about 500 images, involving 10-13 classes. The precise configuration of the data would be available, when the challenge is available online

  • Scheme for evaluating results:

Please see “Evaluation Protocol”

  • Timeline of events:

May 25: Challenge website and registration opens
May 30: Training data available
July 20: Registration closes
Aug 1: Test data available
August 31: Submission of results and reports
CVIP 2018: Announcement of the challenge results

  • Organization team and contact details:

Arnav Bhavsar (IIT Mandi) (arnav@iitmandi.ac.in) A.D. Dileep (IIT Mandi) (addileep@iitmandi.ac.in) Padmanabhan Rajan (IIT Mandi) (padman@iitmandi.ac.in)