Dataset

Wild-Anim Dataset

Okafor, E. (Creator), Schomaker, L. (Creator), Wiering, M. (Creator), University of Groningen, 25-Feb-2019

Dataset

Description

The Wild-Anim dataset available from this page consists of 5 classes that contains uniformly distributed images examples of wild animals.
In total, the dataset contains 5000 images. The images are slightly anamorphic in their representation. These images were passed as input
to both deep learning and classical computer vision methods for carrying out animal recognition task. In our experiments, we considered
two subsets each containing 1000 examples (non-repetitive images) from the total image examples.
Date made available25-Feb-2019
PublisherUniversity of Groningen
Date of data production30-Oct-2015
Access to the dataset Open
Contact researchdata@rug.nl

    Keywords on Datasets

  • Machine learning, Computer-vision, Deep learning, Feature extraction
Related Publications
  1. Comparative study between deep learning and bag of visual words for wild-animal recognition

    Okafor, E., Pawara, P., Karaaba, M., Surinta, O., Codreanu, V., Schomaker, L. & Wiering, M., 9-Feb-2017, 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., (2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  2. Comparative Study Between Deep Learning and Bag of Visual Words for Wild-Animal Recognition

    Okafor, E., Pawara, P., Karaaba, M., Surinta, O., Codreanu, V., Schomaker, L. & Wiering, M., 2016, IEEE Symposium Series on Computational Intelligence. Athens, Greece: IEEE, 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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