sss0307 / traffic-sign-classification-using-tensorflow-keras

The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011. We cordially invite researchers from relevant fields to participate: The competition is designed to allow for participation without special domain knowledge. Our benchmark has the following properties: Single-image, multi-class classification problem More than 40 classes More than 50,000 images in total Large, lifelike database

Traffic-Sign-Classification-using-TensorFlow-Keras

The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011. We cordially invite researchers from relevant fields to participate: The competition is designed to allow for participation without special domain knowledge.

Our benchmark has the following properties:

1. Single-image, multi-class classification problem
2. More than 40 classes
3. More than 50,000 images in total
4. Large, lifelike database