Recognising Traffic Signs using Convolutional Neural Network

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Recognise the traffic signs from the images into 43 different category.

Model:

• 3 Convolutional block with 32, 64 and 128 filters of 3x3 kernel size
• Activation function used ReLu
• Optimiser used Stochastic Gradient Descent (SGD)
• Loss is Categorical Crossentropy

Dataset:

• Link: GTRSB
• 43 classes
• More than 50,000 images in total
• Large, lifelike database
• Physical traffic sign instances are unique within the dataset