Files
HSAP/algorithms/dms_yolo/code/ultralytics/cfg/datasets/african-wildlife.yaml
Chengfang Lu 7c43b44c57 feat: initial HSAP platform
Huaxu Sentinel Active Safety Platform with embedded algorithm code,
Docker Compose setup, and vendored dataset scaffolds for clone-and-run.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-25 16:59:59 +08:00

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915 B
YAML

# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
# African Wildlife dataset by Ultralytics
# Documentation: https://docs.ultralytics.com/datasets/detect/african-wildlife/
# Example usage: yolo train data=african-wildlife.yaml
# parent
# ├── ultralytics
# └── datasets
# └── african-wildlife ← downloads here (100 MB)
# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
path: african-wildlife # dataset root dir
train: images/train # train images (relative to 'path') 1052 images
val: images/val # val images (relative to 'path') 225 images
test: images/test # test images (relative to 'path') 227 images
# Classes
names:
0: buffalo
1: elephant
2: rhino
3: zebra
# Download script/URL (optional)
download: https://github.com/ultralytics/assets/releases/download/v0.0.0/african-wildlife.zip