Datasets:

Modalities:
Text
Formats:
json
ArXiv:
Libraries:
Datasets
pandas
License:
File size: 2,797 Bytes
bcd7002
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
---
license: cc-by-nc-4.0
---

# Gobjaverse-LVIS: Dataset Card for Tailor3D

This dataset card is for the **Tailor3D** project. You can see the more information below.
- **Github Code**: [Link to Github](https://tailor3d-2024.github.io/)
- **Arxiv Paper**: [Link to Arxiv](https://tailor3d-2024.github.io/)
- **Project Page**: [Link to Project](https://tailor3d-2024.github.io/)
- **Youtube Video**: [Link to Youtube](https://tailor3d-2024.github.io/)

## 🏗️ Gobjaverse-LVIS

Objaverse contains **660K** 3D objects with nearly 100 random rendering views. While [Gobjaverse](https://aigc3d.github.io/gobjaverse/), a high-quality rendering of 280K objects from Objaverse. Each object has 40 viewpoints, including two orbits and upper and lower perspectives. G-Objaverse dataset.

| Dataset  | Num Objects | Rendering way |
| :---: | :--------: | :---------: |
| Objaverse |    800K     |     100 random rendering views      |
| Gobjaverse  |    280K     |     two orbits and upper and lower perspectives      |
| Gobjaverse-LVIS |    21,436     |    same as the Gobjaverse      |

![Objaverse and Gobjaverse](gobjaverse.png)

## 📂 Folder Structure

```
|-- Tailor3D
    |-- data
        |-- 000-000
            |-- 000a3d9fa4ff4c888e71e698694eb0b0
                |-- pose
                    |-- 000.txt
                    ...
                    |-- 039.txt
                |-- rgb
                    |-- 000.png
                    ...
                    |-- 039.png  
        |-- 000-001          
            ...
        |-- 000-159

        |-- train.json
        |-- val.json       
```

We have 160 folders named 000-000 to 000-159, each containing approximately 135 objects. Each object, identified by a unique ID (e.g., 000a3d9fa4ff4c888e71e698694eb0b0), has an associated pose (extrinsic parameters) and an RGB image.

- **000 to 024**: Upper views with elevations ranging from 5° to 30°, totaling 24 views (000 and 024 perspectives overlap).

- **027 to 039**: Lower views with elevations ranging from -5° to 5°, totaling 12 views (027 and 039 perspectives overlap).

- **025 and 026**: Top and bottom views, which we **exclude from our project**.

## 🧩 Annotation Files

- `train.json`: 21,345 objects. (000-000 -> 000-158)
- `val.json`: 91 objects. (000-159)

Format:
```
[
    "000-044/ba63c51e3a084871940c5ae6fe9113de",
    "000-044/c1c1df0ad9a2460aba5f15206818bcc1",
    "000-044/fc0e43a0de334f04867cb8c0521c5881",
    "000-044/0d408468ddb94f06917ef88f7690ea61",
    "000-044/8fb4d6efb8c94cfb8c5b6f986a009726",
    "000-044/19f76a0df81747369acf46406b36afa6",
    "000-044/16e4fab1858045f5aa94da96afc9b649",
    "000-044/45a7e7a2e2404d118ee66d59559de5f1",
    "000-044/0bddad71f2b8402887aab34dd9c226d7",
    "000-044/2c315bcfa3a6491bad19d3b22d83c89c",
    ...
]
```