Create README.md
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README.md
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---
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license: cc-by-4.0
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task_categories:
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- object-detection
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language:
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- en
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size_categories:
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- 1B<n<10B
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---
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This is an image dataset for object detection of wildlife in the mixed coniferous broad leaved forest.
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A total of 25,657 images in this dataset were built for object detection, which was generated from video clips taken by infrared cameras in the Northeast Tiger and Leopard National Park including 17 main species (15 wild animals and 2 major domestic animals): Amur tiger, Amur leopard, wild boar, roe deer, sika deer, Asian black bear, red fox, Asian badger, raccoon dog, musk deer, Siberian weasel, sable, yellow-throated marten, leopard cat, Manchurian hare, cow, and dog.
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The image resolution was 1280 × 720 or 1600 × 1200 pixels.
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All images were labeled in Pascal VOC format.
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