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HSAP/algorithms/lane_ufld/code.embedded.bak/pytorch-auto-drive-master/docs/DATASET.md
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

1.2 KiB

Datasets

Basic information of lane detection datasets

Name #Train #Validation #Test Resolution (H x W) #Lanes
CULane 88880 9675 34680 590 x 1640 <=4 instruction
TuSimple 3268 358 2782 720 x 1280 <=5 instruction
LLAMAS* 58269 20844 20929 717 x 1276 <= 4 instruction

* The number of lanes in llamas dataset is more than 4, but most methods & evaluation metrics only use 4 lanes.

Basic information of semantic segmentation datasets

Name #Train #Validation #Test Resolution (H x W) #Classes
PASCAL VOC 2012* 10582 1449 - various 21 instruction
Cityscapes 2975 500 - 1024 x 2048 19 instruction
GTAV 24966 - - mostly 1052 x 1914 19 instruction
SYNTHIA** 9400 - - 760 x 1280 23 instruction

* Extended by SBD.

** SYNTHIA-RAND-CITYSCAPES.

- Not used or label not available.