|
|
--- |
|
|
license: cc |
|
|
task_categories: |
|
|
- object-detection |
|
|
language: |
|
|
- en |
|
|
size_categories: |
|
|
- 1K<n<10K |
|
|
--- |
|
|
# Dataset Description |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
The dataset contains images of road signs with annotations in YOLO format, which specify the class ID and the bounding box coordinates for each object. |
|
|
|
|
|
There are 15 classes: |
|
|
|
|
|
- Traffic Lights: Green Light, Red Light. |
|
|
|
|
|
- Speed Limits: 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120. |
|
|
|
|
|
- Stop Sign: Stop. |
|
|
|
|
|
Each image can contain multiple road signs. The dataset simulates real-world driving conditions, including varying weather, lighting, and road environments. |
|
|
|
|
|
# Dataset Usage |
|
|
|
|
|
You can use this dataset to detect different road signs. This is a link for my competition leaderboard in colab where you can submit your results: https://codalab.lisn.upsaclay.fr/competitions/21061#results |
|
|
|
|
|
# Authors |
|
|
|
|
|
Provided by a Roboflow user. |
|
|
|
|
|
# License |
|
|
|
|
|
CC BY 4.0. |
|
|
|
|
|
|
