Warning Road Sign recognition Computer Vision Project

Rabah Anakkachery

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Classes (61)
Bend-To-The-Left
Camera-operation-zone
Chevron-to-the-left
Chevron-to-the-right
Clearway-No-Stopping
Crossroad
Crosswinds
Curve-Ahead
Detour-to-the-left-sign
Detour-to-the-right-sign
Diverge
Divided-road-begins
Divided-road-ends
Dosmetic-Animal-Crossing
Exit-To-The-Left
Exit-to-the-right
Give-way-Priorty
Go-straight-or-turn-left
Heavy-vehicles-prohibited-in-the-right-lane
Height-Limit
Junction-on-the-left-and-right-sign
Keep-Left-Straight
Keep-right-Straight
Mandatory-Stop
Merging-traffic-ahead-on-the-left
Merging-traffic-ahead-on-the-right
Narrow-bridge-ahead
No-Entry
No-Motorbike
No-Parking
No-Truck
No-U-Turn
No-left-turn
No-overtaking
No-right-turn
No-slow-moving-vehicles
Obstacles
Obstruction
One-Way-Street
Other-Danger
Pass-either-side-Straight
Pedestrian-Crossing
Road-Hump
Road-narrows-ahead-from-the-left
Road-work
Roundabout-ahead
School-children-crossing
Side-road-junction-ahead-on-the-left
Side-road-junction-ahead-on-the-right
Slippery-road Speed-Limit
Staggered-junctions-ahead-first-on-the-right
T-junction-ahead
Towing-Zone
Traffic-light-ahead
Two-way-traffic-ahead
U-Turn
Vehicles-exceeding-30-tonnes-prohibited
Vehicles-exceeding-5-tonnes-prohibited
Width-limit-3.5-metres
Y-shaped-road-intersection
Description

Here are a few use cases for this project:

  1. Autonomous Driving Systems: The model could be used in self-driving cars to understand and obey various road signs, ensuring safe and effective navigation through different traffic scenarios.

  2. Driver Assisting Applications: A driving assistant app could use this model to help alert drivers in real-time about upcoming road signs, potentially improving safety and reducing accident risks.

  3. Traffic Management Systems: Municipalities could implement this model into surveillance cameras to monitor compliance with road signs and detect instances of dangerous driving.

  4. Virtual Reality Driving Simulators: This model could be used in a VR driving simulator to accurately replicate real-world road sign recognition, providing users with a more immersive learning experience.

  5. Educational Applications for Driving Test Preparation: The model could be used in applications designed to prepare new drivers for driving tests, enhancing their ability to recognize and understand different road signs.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            warning-road-sign-recognition-it42d_dataset,
                            title = { Warning Road Sign recognition Dataset },
                            type = { Open Source Dataset },
                            author = { Rabah Anakkachery },
                            howpublished = { \url{ https://universe.roboflow.com/rabah-anakkachery-tfr1l/warning-road-sign-recognition-it42d } },
                            url = { https://universe.roboflow.com/rabah-anakkachery-tfr1l/warning-road-sign-recognition-it42d },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-11-10 },
                            }