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HSAP/algorithms/dms_yolo/code.embedded.bak/ultralytics/cfg/datasets/construction-ppe.yaml
Chengfang Lu e72bc061c5 feat: HSAP platform v2 — modular navigation, quality review, audit log, world model simulation
Major changes:
- New frontend (platform/web/): Vite + React 18 + TypeScript + Tailwind
- 4-module navigation: 数据送标 / 模型管理 / 车队管理 / 系统管理
- Data catalog with charts (DMS/ADAS/Lane 3-tab view)
- Quality review workflow (标注质检): Good/Fine/Bad scoring with auto-advance
- Audit enhancements: batch operations, rejection categories, Feishu notifications
- Operation audit log (操作日志)
- World model simulation studio (仿真工坊)
- Dataset version management with snapshots and diff
- ADAS 7-class dataset integration (138K images organized + compressed)
- User management with Feishu integration and pagination
- CRUD/search/filter on all pages, card layout redesign
- PIL-optimized image overlay rendering
- Auto-snapshot on build, in_review workflow stage
- Removed embedded algorithm code (now in workspace)
2026-06-03 11:40:21 +08:00

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YAML

# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
# Construction-PPE dataset by Ultralytics
# Documentation: https://docs.ultralytics.com/datasets/detect/construction-ppe/
# Example usage: yolo train data=construction-ppe.yaml
# parent
# ├── ultralytics
# └── datasets
# └── construction-ppe ← downloads here (178.4 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: construction-ppe # dataset root dir
train: images/train # train images (relative to 'path') 1132 images
val: images/val # val images (relative to 'path') 143 images
test: images/test # test images (relative to 'path') 141 images
# Classes
names:
0: helmet
1: gloves
2: vest
3: boots
4: goggles
5: none
6: Person
7: no_helmet
8: no_goggle
9: no_gloves
10: no_boots
# Download script/URL (optional)
download: https://github.com/ultralytics/assets/releases/download/v0.0.0/construction-ppe.zip