| --- |
| 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. |
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| There are 15 classes: |
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| - Traffic Lights: Green Light, Red Light. |
| |
| - Speed Limits: 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120. |
|
|
| - Stop Sign: Stop. |
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| Each image can contain multiple road signs. The dataset simulates real-world driving conditions, including varying weather, lighting, and road environments. |
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| # Dataset Usage |
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| 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 |
|
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| Provided by a Roboflow user. |
|
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| # License |
|
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| CC BY 4.0. |
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|
