WalkerCH commited on
Commit
0499fa4
·
verified ·
1 Parent(s): bd448f7

Update README with all four datasets (DL3DV, GSO30, NAVI, GSO)

Browse files
Files changed (1) hide show
  1. README.md +71 -2
README.md CHANGED
@@ -4,8 +4,50 @@ license: mit
4
 
5
  # Streaming3D Dataset
6
 
7
- This dataset contains assets used by the Streaming3D benchmark. The current
8
- release documents the `GSO30` subset; other subsets may be added later.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
 
10
  ## GSO30
11
 
@@ -94,3 +136,30 @@ In short, the default protocol is:
94
  1. Train or reconstruct from all `render_spiral_100/images` frames.
95
  2. Evaluate by rendering or comparing against `render_mvs_25/model_norm.glb`
96
  using the 25 camera poses in `render_mvs_25/model/*.npy`.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4
 
5
  # Streaming3D Dataset
6
 
7
+ This dataset contains assets used by the Streaming3D benchmark.
8
+
9
+ ## Overview
10
+
11
+ | Subset | Files | Description |
12
+ |---------|----------|--------------------------------------------------|
13
+ | DL3DV | 13,724 | 16 indoor/outdoor scenes from DL3DV |
14
+ | GSO30 | 20,099 | 30-object subset from Google Scanned Objects |
15
+ | NAVI | 28,995 | Navigation evaluation dataset |
16
+ | GSO | 67,982 | Full Google Scanned Objects dataset (1032 objects) |
17
+
18
+ ## Download
19
+
20
+ You can download individual subsets using `hf download`:
21
+
22
+ ```bash
23
+ hf download WalkerCH/Streaming3D DL3DV/
24
+ hf download WalkerCH/Streaming3D GSO30/
25
+ hf download WalkerCH/Streaming3D NAVI/
26
+ hf download WalkerCH/Streaming3D GSO/
27
+ ```
28
+
29
+ Only the subset you request will be downloaded; you do not need to download the entire repository.
30
+
31
+ ---
32
+
33
+ ## DL3DV
34
+
35
+ 16 indoor/outdoor scenes from the DL3DV dataset. Each scene directory contains:
36
+
37
+ ```text
38
+ DL3DV/
39
+ scene_<id>_<hash>_<name>/
40
+ colmap/ # COLMAP reconstruction output (features, matches, sparse model)
41
+ da3/ # DA3 format data
42
+ images/ # Source images (PNG)
43
+ sam3_masks/ # SAM3 segmentation masks
44
+ split.json # Train/test split
45
+ transforms.json # Camera transforms
46
+ scenes.csv # Scene metadata
47
+ scenes selected.csv # Selected scene list
48
+ ```
49
+
50
+ ---
51
 
52
  ## GSO30
53
 
 
136
  1. Train or reconstruct from all `render_spiral_100/images` frames.
137
  2. Evaluate by rendering or comparing against `render_mvs_25/model_norm.glb`
138
  using the 25 camera poses in `render_mvs_25/model/*.npy`.
139
+
140
+ ---
141
+
142
+ ## GSO
143
+
144
+ Full Google Scanned Objects dataset containing 1032 objects.
145
+
146
+ ```text
147
+ GSO/
148
+ <object_name>/
149
+ images/ # Object renders (PNG)
150
+ ...
151
+ ```
152
+
153
+ ---
154
+
155
+ ## NAVI
156
+
157
+ Navigation evaluation dataset with two difficulty levels.
158
+
159
+ ```text
160
+ NAVI/
161
+ hard/ # Hard difficulty navigation scenes
162
+ normal/ # Normal difficulty navigation scenes
163
+ src_code/ # Source code for evaluation
164
+ README.md # NAVI-specific documentation
165
+ ```