Published April 23, 2026
| Version v1
Photo
Open
Wildlife-detection-YOLO-datasets
Description
This repository includes YOLOv8 training, validation, and test datasets, along with labeling information, for five mammal species inhabiting Korean forests: wild boar (Sus scrofa), water deer (Hydropotes inermis), Asian badger (Meles leucurus), raccoon dog (Nyctereutes procyonoides), and roe deer (Capreolus pygargus). In addition, the Python code used for the analysis is provided, and all analyses were conducted in Google Colab.
Files
annotations.zip
Files
(2.1 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:64ec73b46196d7aff68cdcb12ae15c78
|
1.0 MB | Preview Download |
|
md5:c6f5990bb3c04b9d896234aab283e814
|
5.7 kB | Download |
|
md5:9912b0a28038b9d80bcaa7597b23409b
|
3.3 kB | Download |
|
md5:b299b90d25966714cf47dae6123b8128
|
2.0 kB | Download |
|
md5:9a5e173f55b011b428b4245c816a8d23
|
4.2 kB | Download |
|
md5:24010e34ce17797e2908aeffcc2bb402
|
222.3 MB | Preview Download |
|
md5:bd9c9598344ba030a061c91b068ce799
|
1.5 GB | Preview Download |
|
md5:4a18ee8c2378f895807b63f06bace4ca
|
405.4 MB | Preview Download |
Additional details
Dates
- Other
-
2026-04-23Wildlife-detection-using-YOLOv8