Vietnamese Traffic Signs

Summary #

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.

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.

Sample annotation mask from Vietnamese Traffic Signs

Sample image from Vietnamese Traffic Signs

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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.

Rows 1-10 of 29

Class ㅤ	Images ㅤ	Objects ㅤ	Count on image average	Area on image average
one way prohibition➔ rectangle	264	310	1.17	0.1%
speed limit➔ rectangle	214	301	1.41	0.18%
no parking➔ rectangle	197	216	1.1	0.14%
intersection danger➔ rectangle	176	180	1.02	0.13%
indication➔ rectangle	173	183	1.06	0.11%
no stopping and parking➔ rectangle	154	169	1.1	0.24%
other prohibition➔ rectangle	152	180	1.18	0.18%
vehicle permission lane➔ rectangle	136	199	1.46	0.34%
road danger➔ rectangle	132	141	1.07	0.21%
direction➔ 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.

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.

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.

Rows 1-10 of 2841

Object ID ㅤ	Class ㅤ	Image name click row to open	Image size height x width	Height ㅤ	Height ㅤ	Width ㅤ	Width ㅤ	Area ㅤ
1➔	other prohibition rectangle	frame_44.png	626 x 1622	69px	11.02%	70px	4.32%	0.48%
2➔	speed limit rectangle	frame_44.png	626 x 1622	32px	5.11%	37px	2.28%	0.12%
3➔	road danger rectangle	frame_44.png	626 x 1622	28px	4.47%	37px	2.28%	0.1%
4➔	vehicle permission lane rectangle	frame_44.png	626 x 1622	36px	5.75%	33px	2.03%	0.12%
5➔	no stopping and parking rectangle	frame_44.png	626 x 1622	31px	4.95%	30px	1.85%	0.09%
6➔	other warning rectangle	frame_44.png	626 x 1622	25px	3.99%	31px	1.91%	0.08%
7➔	no parking rectangle	frame_44.png	626 x 1622	15px	2.4%	12px	0.74%	0.02%
8➔	other warning rectangle	frame_44.png	626 x 1622	12px	1.92%	13px	0.8%	0.02%
9➔	slow warning rectangle	frame_44.png	626 x 1622	12px	1.92%	15px	0.92%	0.02%
10➔	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 = { nov },
  note = { visited on 2024-11-25 },
}

Download #

Please visit dataset homepage to download the data.

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