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Vietnamese Traffic Signs Dataset

1170291
Tagself-driving
Taskobject detection
Release YearMade in 2023
Licenseunknown

Summary #

Dataset LinkHomepage

Vietnamese Traffic Signs Detection and Recognition Dataset is a dataset for an object detection task. It is used in the automotive industry.

The dataset consists of 1170 images with 2841 labeled objects belonging to 29 different classes including one way prohibition, speed limit, no parking, and other: intersection danger, indication, no stopping and parking, other prohibition, vehicle permission lane, road danger, direction, slow warning, no turn left, pedestrian danger, no truck entry/turning, no car entry/turning, pedestrian crossing, no motorbike entry/turning, no turn right, vehicle and speed permission lane, other warning, other, height limit, no u turn, no more prohibition, construction danger, no u and left turn, weight limit, no u and right turn, and overpass route.

Images in the Vietnamese Traffic Signs dataset have bounding box annotations. There are 6 (1% of the total) unlabeled images (i.e. without annotations). There are 3 splits in the dataset: train (900 images), val (180 images), and test (90 images). The dataset was released in 2023.

Dataset Poster

Explore #

Vietnamese Traffic Signs dataset has 1170 images. Click on one of the examples below or open "Explore" tool anytime you need to view dataset images with annotations. This tool has extended visualization capabilities like zoom, translation, objects table, custom filters and more. Hover the mouse over the images to hide or show annotations.

OpenSample annotation mask from Vietnamese Traffic SignsSample image from Vietnamese Traffic Signs
OpenSample annotation mask from Vietnamese Traffic SignsSample image from Vietnamese Traffic Signs
OpenSample annotation mask from Vietnamese Traffic SignsSample image from Vietnamese Traffic Signs
OpenSample annotation mask from Vietnamese Traffic SignsSample image from Vietnamese Traffic Signs
OpenSample annotation mask from Vietnamese Traffic SignsSample image from Vietnamese Traffic Signs
OpenSample annotation mask from Vietnamese Traffic SignsSample image from Vietnamese Traffic Signs
OpenSample annotation mask from Vietnamese Traffic SignsSample image from Vietnamese Traffic Signs
OpenSample annotation mask from Vietnamese Traffic SignsSample image from Vietnamese Traffic Signs
OpenSample annotation mask from Vietnamese Traffic SignsSample image from Vietnamese Traffic Signs
OpenSample annotation mask from Vietnamese Traffic SignsSample image from Vietnamese Traffic Signs
OpenSample annotation mask from Vietnamese Traffic SignsSample image from Vietnamese Traffic Signs
OpenSample annotation mask from Vietnamese Traffic SignsSample image from Vietnamese Traffic Signs
πŸ‘€
Have a look at 1170 images
Because of dataset's license preview is limited to 12 images
View images along with annotations and tags, search and filter by various parameters

Class balance #

There are 29 annotation classes in the dataset. Find the general statistics and balances for every class in the table below. Click any row to preview images that have labels of the selected class. Sort by column to find the most rare or prevalent classes.

Search
Rows 1-10 of 29
Class
γ…€
Images
γ…€
Objects
γ…€
Count on image
average
Area on image
average
one way prohibitionβž”
rectangle
264
310
1.17
0.1%
speed limitβž”
rectangle
214
301
1.41
0.18%
no parkingβž”
rectangle
197
216
1.1
0.14%
intersection dangerβž”
rectangle
176
180
1.02
0.13%
indicationβž”
rectangle
173
183
1.06
0.11%
no stopping and parkingβž”
rectangle
154
169
1.1
0.24%
other prohibitionβž”
rectangle
152
180
1.18
0.18%
vehicle permission laneβž”
rectangle
136
199
1.46
0.34%
road dangerβž”
rectangle
132
141
1.07
0.21%
directionβž”
rectangle
113
156
1.38
0.38%

Co-occurrence matrix #

Co-occurrence matrix is an extremely valuable tool that shows you the images for every pair of classes: how many images have objects of both classes at the same time. If you click any cell, you will see those images. We added the tooltip with an explanation for every cell for your convenience, just hover the mouse over a cell to preview the description.

Images #

Explore every single image in the dataset with respect to the number of annotations of each class it has. Click a row to preview selected image. Sort by any column to find anomalies and edge cases. Use horizontal scroll if the table has many columns for a large number of classes in the dataset.

Object distribution #

Interactive heatmap chart for every class with object distribution shows how many images are in the dataset with a certain number of objects of a specific class. Users can click cell and see the list of all corresponding images.

Class sizes #

The table below gives various size properties of objects for every class. Click a row to see the image with annotations of the selected class. Sort columns to find classes with the smallest or largest objects or understand the size differences between classes.

Search
Rows 1-10 of 27
Class
Object count
Avg area
Max area
Min area
Min height
Min height
Max height
Max height
Avg height
Avg height
Min width
Min width
Max width
Max width
one way prohibition
rectangle
310
0.09%
1.5%
0%
5px
0.8%
132px
21.09%
23px
3.69%
6px
0.37%
120px
7.4%
speed limit
rectangle
301
0.13%
1.06%
0.01%
9px
1.44%
107px
17.09%
31px
4.93%
9px
0.55%
108px
6.66%
no parking
rectangle
216
0.13%
1.11%
0.01%
8px
1.28%
110px
17.57%
31px
4.95%
9px
0.55%
102px
6.29%
vehicle permission lane
rectangle
199
0.23%
3.34%
0.01%
10px
1.6%
159px
25.4%
40px
6.35%
5px
0.31%
223px
13.75%
indication
rectangle
183
0.1%
1.12%
0%
6px
0.96%
114px
18.21%
24px
3.86%
7px
0.43%
112px
6.91%
other prohibition
rectangle
180
0.15%
1.94%
0.01%
7px
1.12%
140px
22.36%
31px
4.99%
9px
0.55%
141px
8.69%
intersection danger
rectangle
180
0.12%
1.53%
0.01%
9px
1.44%
104px
16.61%
27px
4.38%
8px
0.49%
149px
9.19%
no stopping and parking
rectangle
169
0.22%
5.55%
0.01%
8px
1.28%
200px
31.95%
38px
6.03%
7px
0.43%
282px
17.39%
direction
rectangle
156
0.27%
4.21%
0.01%
8px
1.28%
289px
46.17%
36px
5.72%
9px
0.55%
219px
13.5%
road danger
rectangle
141
0.2%
2.71%
0.01%
10px
1.6%
204px
32.59%
35px
5.55%
13px
0.8%
135px
8.32%

Spatial Heatmap #

The heatmaps below give the spatial distributions of all objects for every class. These visualizations provide insights into the most probable and rare object locations on the image. It helps analyze objects' placements in a dataset.

Spatial Heatmap

Objects #

Table contains all 2841 objects. Click a row to preview an image with annotations, and use search or pagination to navigate. Sort columns to find outliers in the dataset.

Search
Rows 1-10 of 2841
Object ID
γ…€
Class
γ…€
Image name
click row to open
Image size
height x width
Height
γ…€
Height
γ…€
Width
γ…€
Width
γ…€
Area
γ…€
1βž”
other prohibition
rectangle
frame_44.png
626 x 1622
69px
11.02%
70px
4.32%
0.48%
2βž”
speed limit
rectangle
frame_44.png
626 x 1622
32px
5.11%
37px
2.28%
0.12%
3βž”
road danger
rectangle
frame_44.png
626 x 1622
28px
4.47%
37px
2.28%
0.1%
4βž”
vehicle permission lane
rectangle
frame_44.png
626 x 1622
36px
5.75%
33px
2.03%
0.12%
5βž”
no stopping and parking
rectangle
frame_44.png
626 x 1622
31px
4.95%
30px
1.85%
0.09%
6βž”
other warning
rectangle
frame_44.png
626 x 1622
25px
3.99%
31px
1.91%
0.08%
7βž”
no parking
rectangle
frame_44.png
626 x 1622
15px
2.4%
12px
0.74%
0.02%
8βž”
other warning
rectangle
frame_44.png
626 x 1622
12px
1.92%
13px
0.8%
0.02%
9βž”
slow warning
rectangle
frame_44.png
626 x 1622
12px
1.92%
15px
0.92%
0.02%
10βž”
vehicle permission lane
rectangle
frame_44.png
626 x 1622
23px
3.67%
26px
1.6%
0.06%

License #

License is unknown for the Vietnamese traffic signs detection and recognition dataset dataset.

Source

Citation #

If you make use of the vietnamese traffic signs data, please cite the following reference:

@dataset{vietnamese traffic signs,
  author={Dat Nguyen},
  title={Vietnamese traffic signs detection and recognition dataset},
  year={2023},
  url={https://www.kaggle.com/datasets/jaydenguyenx/vietnamese-traffic-signs-detection-and-recognition}
}

Source

If you are happy with Dataset Ninja and use provided visualizations and tools in your work, please cite us:

@misc{ visualization-tools-for-vietnamese-traffic-signs-dataset,
  title = { Visualization Tools for Vietnamese Traffic Signs Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/vietnamese-traffic-signs } },
  url = { https://datasetninja.com/vietnamese-traffic-signs },
  journal = { Dataset Ninja },
  publisher = { Dataset Ninja },
  year = { 2024 },
  month = { jun },
  note = { visited on 2024-06-25 },
}

Download #

Please visit dataset homepage to download the data.

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