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Dataset assetOpen Source CommunityImage RecognitionWildlife Object Detection
myyyyw/NTLNP
This is an image dataset for wildlife target detection in mixed conifer‑broadleaf forests. It contains 25,657 images captured by infrared cameras in the Northeast Tiger and Leopard National Park, covering 17 major species (15 wildlife and 2 livestock): Northeast tiger, Northeast leopard, wild boar, sika deer, spotted deer, Asian black bear, red fox, Asian badger, raccoon dog, musk deer, Siberian weasel, ferret, yellow‑throated marten, leopard cat, Manchurian hare, cattle, and dog. All images are annotated in Pascal VOC format with resolutions of 1280 × 720 or 1600 × 1200 pixels.
Source
hugging_face
Created
Nov 28, 2025
Updated
Mar 9, 2023
Signals
256 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
Dataset Name
- Mixed‑Forest Wildlife Detection Image Dataset
Dataset Description
- Contains 25,657 images for detecting wildlife in mixed forests.
- Images originate from infrared camera video clips in the Northeast Tiger and Leopard National Park.
- Covers 17 primary species, including 15 wildlife and 2 major livestock.
Dataset Content
- Species include: Amur tiger, Amur leopard, wild boar, sika deer, spotted deer, Asian black bear, red fox, Asian badger, raccoon dog, musk deer, Siberian weasel, sable, yellow‑throated marten, leopard cat, Manchurian hare, cattle, dog.
Dataset Format
- All images are annotated in Pascal VOC format.
Image Resolution
- Images are either 1280 × 720 or 1600 × 1200 pixels.
Dataset Scale
- Size falls within the 1 B < n < 10 B range.
Language
- Language of the dataset is English.
License
- CC‑BY‑4.0 license.
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