File size: 927 Bytes
587cb26 c53f175 faca5c3 c53f175 faca5c3 c53f175 9d1eb3e faca5c3 9d1eb3e c53f175 9d1eb3e c53f175 9d1eb3e c53f175 9d1eb3e c53f175 7073297 4e7282b |
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 |
---
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.
|