File size: 2,235 Bytes
655b269
 
 
 
 
 
 
 
bd4cdfd
 
655b269
 
 
 
 
 
 
 
 
bd4cdfd
655b269
 
 
 
 
 
 
bd4cdfd
 
655b269
 
 
 
 
bd4cdfd
655b269
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bd4cdfd
655b269
bd4cdfd
655b269
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bd4cdfd
655b269
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bd4cdfd
655b269
 
 
bd4cdfd
 
655b269
 
bd4cdfd
655b269
 
 
 
 
bd4cdfd
 
 
 
 
 
655b269
bd4cdfd
655b269
bd4cdfd
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
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
---
annotations_creators: []
language: en
size_categories:
- n<1K
task_categories:
- image-classification
- object-detection
- image-to-3d
- text-to-3d
task_ids: []
pretty_name: quickstart-3d
tags:
- 3d
- 3d
- fiftyone
- image-classification
- object-detection
- quickstart
dataset_summary: >



  ![image/png](dataset_preview.gif)



  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 200
  samples.


  ## Installation


  If you haven't already, install FiftyOne:


  ```bash

  pip install -U fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  import fiftyone.utils.huggingface as fouh


  # Load the dataset

  # Note: other available arguments include 'max_samples', etc

  dataset = fouh.load_from_hub("Voxel51/quickstart-3d")


  # Launch the App

  session = fo.launch_app(dataset)

  ```
---

# Dataset Card for quickstart-3d

<!-- Provide a quick summary of the dataset. -->




![image/png](dataset_preview.gif)


This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 200 samples.

## Installation

If you haven't already, install FiftyOne:

```bash
pip install -U fiftyone
```

## Usage

```python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/quickstart-3d")

# Launch the App
session = fo.launch_app(dataset)
```


## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

- **Language(s) (NLP):** en
- **License:** [More Information Needed]

### Dataset Sources

<!-- Provide the basic links for the dataset. -->

- **Homepage:** https://docs.voxel51.com/user_guide/dataset_zoo/datasets.html#quickstart-3d
- **Demo:** https://try.fiftyone.ai/datasets/quickstart-3d/samples


## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

@article{moore2020fiftyone,
  title={FiftyOne},
  author={Moore, B. E. and Corso, J. J.},
  journal={GitHub. Note: https://github.com/voxel51/fiftyone},
  year={2020}
}

## Dataset Card Author

[Jacob Marks](https://huggingface.co/jamarks)