Northeast Tiger and Leopard National Park provides 25,657 images generated from infrared camera video clips for object detection in a mixed coniferous broad-leaved forest. The dataset, created by author 'myyyyw' and last updated on March 9, 2023, includes 17 main species such as Amur tiger, Amur leopard, wild boar, and roe deer.
Use Cases
- Train object detection models based on infrared camera images of 17 wildlife species.
- Develop automated wildlife monitoring systems based on data from a specific national park.
- Conduct biodiversity analysis based on the presence of 15 wild animal and 2 domestic animal species.
- Benchmark model performance in challenging forest environments based on the mixed coniferous broad-leaved forest setting.
Strengths
- Contains 25,657 images for model training.
- Focuses on 17 distinct species, including rare ones like the Amur tiger and leopard.
- Data originates from a specific, ecologically significant geographic area (Northeast Tiger and Leopard National Park).
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last updated 2023-03-09 12:17:41; freshness should be verified.
Provenance
- Source
- huggingface
- Collection Method
- Images generated from video clips taken by infrared cameras.
- Time Range
- null
- Freshness
- Last updated 2023-03-09 12:17:41
- Geography
- Northeast Tiger and Leopard National Park, mixed coniferous broad-leaved forest