Recognise the traffic signs from the images into 43 different category.
- 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
- Link: GTRSB
- 43 classes
- More than 50,000 images in total
- Large, lifelike database
- Physical traffic sign instances are unique within the dataset