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Roboflow hosts the world's biggest set of open-source transportation datasets and pre-trained computer vision models. The category includes images of trains, cars, ships, trucks, planes, motorcycles, bridges, emergency vehicles, road signs, bicycles, scooters, and license plates. These projects can help you get started with things like object speed calculation, object tracking, autonomous vehicles, and smart-city transportation innovations.
This project was created by downloading the GTSDB German Traffic Sign Detection Benchmark
dataset from Kaggle and importing the annotated training set files (images and annotation files)
- Original home of the dataset: https://benchmark.ini.rub.de/?section=gtsdb&subsection=dataset - Institut Für Neuroinformatik
v1 contains the original imported images, without augmentations. This is the version to download and import to your own project if you'd like to add your own augmentations.
v2 contains an augmented version of the dataset, with annotations. This version of the project was trained with Roboflow's "FAST" model.
v3 contains an augmented version of the dataset, with annotations. This version of the project was trained with Roboflow's "ACCURATE" model.