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Multi-class Wild-life animal detection dataset
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README.md

README.md

Multi-class Wild-life animal detection dataset

Multi-class Wild-life animal detection dataset

Evaluation Protocol:

Test: 40% Train: 20% Unlabelled: 40%

Evaluate maP with IOU 0.5

License:

The Multiclass wildlife dataset (‘Licensed Material’) are made available to the non-commerical and scientific communities for academic, teaching and scientific purposes. Permission is granted to you (‘the Licensee’) to use the dataset with these conditions. Please include a reference to the following published work:

Teng Zhang, Liangchen Liu, Kun Zhao, Arnold Wiliem, Graham Hemson, Brian Lovell “Omni-supervised joint detection and pose estimation for wild animals” Pattern Recognition Letters, 2018

Download:

The current version of the Multiclass wildlife dataset can be downloaded from download

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