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Kevinwjw

feat: upload 12Hz dynamic masks for mini dataset

03ba834 verified 6 months ago

controlnet_mini
feat: upload pre-rendered val maps for mini dataset 6 months ago
dense_normal_448x800
feat: add CAM_BACK_RIGHT dense normals (448x800) 9 months ago
masks
feat: upload 12Hz dynamic masks for mini dataset 6 months ago
metric3d_depth
feat: upload 12Hz depth confidence maps for mini dataset 6 months ago
.gitattributes

2.46 kB
initial commit 9 months ago
bev_layout_data.tar.gz

105 MB
xet

feat: add BEV layout and occupancy masks 8 months ago
lidar_depth.tar.gz
4.74 GB
xet

- Add pre-processed sparse lidar depth data for all 6 camera views. - Format: Compressed numpy archives (.npz) containing depth and validity masks. - Resolution: 900x1600 (consistent with nuScenes camera sensors). - Source: Projected from LIDAR_TOP to camera planes using nuScenes-devkit. - Purpose: Support downstream tasks like Depth Completion or 2D-3D Grounding. 9 months ago
nuscenes_semantic_back.tar.gz

587 MB
xet

- Added CAM_BACK semantic masks compressed in .tar.gz format. - Processing Pipeline: GroundedSAM (static) merged with SegFormer (dynamic). - Encoding Scheme: * 0: Ignore/Background * 1-16: NuScenes standard static classes * 101-116: Dynamic classes (Semantic ID + 100) * 255: Sky mask (preserved for downstream extraction) - Sensor Context: Part of the 360-degree camera suite in nuScenes. - Data integrity verified against original CAM_BACK JPG samples. 9 months ago
nuscenes_semantic_back_left.tar.gz

475 MB
xet

- Added CAM_BACK_LEFT semantic masks in .tar.gz format. - Processing Pipeline: GroundedSAM static masks fused with SegFormer dynamic masks. - Encoding Specification: * 1-16: NuScenes standard static semantic classes. * 101-116: Dynamic object classes (Semantic ID + 100). * 255: Sky mask (preserved for downstream extraction). - Data alignment: Verified against nuScenes CAM_BACK_LEFT sensor samples. - Status: 2/6 cameras completed (BACK, BACK_LEFT). 9 months ago
nuscenes_semantic_back_right.tar.gz

525 MB
xet

- Added CAM_BACK_RIGHT semantic masks in .tar.gz format. - Processing Pipeline: GroundedSAM static masks + SegFormer dynamic objects. - Encoding Specification: * 1-16: NuScenes standard static semantic classes. * 101-116: Dynamic object classes (Semantic ID + 100). * 255: Sky mask (preserved for dedicated sky removal tasks). - Data alignment: Verified with nuScenes CAM_BACK_RIGHT camera sensor. - Progress: 3/6 cameras completed. All rear-facing views (BACK, BACK_LEFT, BACK_RIGHT) are now processed. 9 months ago
nuscenes_semantic_front.tar.gz

564 MB
xet

- Added CAM_FRONT semantic masks in .tar.gz format. - Processing Pipeline: GroundedSAM static masks + SegFormer dynamic objects. - Encoding Specification: * 1-16: NuScenes standard static semantic classes. * 101-116: Dynamic object classes (Semantic ID + 100). * 255: Sky mask (preserved for high-fidelity sky removal/replacement). - Data alignment: Verified with nuScenes CAM_FRONT primary sensor. - Progress: 4/6 cameras completed. Beginning processing of the forward-facing camera suite. 9 months ago
nuscenes_semantic_front_left.tar.gz

516 MB
xet

- Added CAM_FRONT_LEFT semantic masks in .tar.gz format. - Processing Pipeline: GroundedSAM static masks + SegFormer dynamic objects. - Encoding Specification: * 1-16: NuScenes standard static semantic classes. * 101-116: Dynamic object classes (Semantic ID + 100). * 255: Sky mask (preserved for downstream depth completion/sky removal). - Data alignment: Verified with nuScenes CAM_FRONT_LEFT sensor samples. - Progress: 5/6 cameras completed. Only CAM_FRONT_RIGHT remaining for full 360-degree coverage. 9 months ago
nuscenes_semantic_front_right.tar.gz

554 MB
xet

- Added CAM_FRONT_RIGHT semantic masks in .tar.gz format. - Processing Pipeline: GroundedSAM static masks + SegFormer dynamic objects. - Encoding Specification: * 1-16: NuScenes standard static semantic classes. * 101-116: Dynamic object classes (Semantic ID + 100). * 255: Sky mask (preserved for downstream high-fidelity processing). - Data alignment: Verified with nuScenes CAM_FRONT_RIGHT sensor samples. - Progress: 6/6 cameras completed. Full 360-degree coverage for the nuScenes dataset is now available. 9 months ago