Chengfang Lu
e72bc061c5
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)
28 lines
895 B
YAML
28 lines
895 B
YAML
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# KITTI dataset by Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago
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# Documentation: https://docs.ultralytics.com/datasets/detect/kitti/
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# Example usage: yolo train data=kitti.yaml
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# parent
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# ├── ultralytics
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# └── datasets
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# └── kitti ← downloads here (390.5 MB)
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# 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, ..]
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path: kitti # dataset root dir
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train: images/train # train images (relative to 'path') 5985 images
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val: images/val # val images (relative to 'path') 1496 images
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names:
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0: car
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1: van
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2: truck
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3: pedestrian
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4: person_sitting
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5: cyclist
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6: tram
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7: misc
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# Download script/URL (optional)
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download: https://github.com/ultralytics/assets/releases/download/v0.0.0/kitti.zip
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