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- README.roboflow.txt +34 -0
- data.yaml +13 -0
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README.dataset.txt
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# GTSDB - German Traffic Sign Detection Benchmark > augmented-Roboflow-ACCURATE-model
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https://universe.roboflow.com/mohamed-traore-2ekkp/gtsdb---german-traffic-sign-detection-benchmark
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Provided by a Roboflow user
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License: CC BY 4.0
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### This project was created by downloading the GTSDB German Traffic Sign Detection Benchmark
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### dataset from Kaggle and importing the annotated training set files (images and annotation files)
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### to Roboflow.
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#### https://www.kaggle.com/datasets/safabouguezzi/german-traffic-sign-detection-benchmark-gtsdb
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* Original home of the dataset: https://benchmark.ini.rub.de/?section=gtsdb&subsection=dataset - [Institut Für Neuroinformatik](https://www.ini.rub.de/)
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The annotation files were adjusted to conform to the [YOLO Keras TXT format](https://roboflow.com/formats/yolo-keras-txt) prior to upload, as the original format did not include a [label map file](https://blog.roboflow.com/label-map/).
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`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.
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`v2` contains an augmented version of the dataset, with annotations. This version of the project was trained with Roboflow's "FAST" model.
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`v3` contains an augmented version of the dataset, with annotations. This version of the project was trained with Roboflow's "ACCURATE" model.
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* [Choosing Between Computer Vision Model Sizes](https://blog.roboflow.com/computer-vision-model-tradeoff/) | [New and Improved Roboflow Train](https://blog.roboflow.com/new-and-improved-roboflow-train/)
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README.roboflow.txt
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GTSDB - German Traffic Sign Detection Benchmark - v3 augmented-Roboflow-ACCURATE-model
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==============================
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This dataset was exported via roboflow.com on January 11, 2023 at 11:45 AM GMT
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Roboflow is an end-to-end computer vision platform that helps you
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* collaborate with your team on computer vision projects
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* collect & organize images
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* understand and search unstructured image data
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* annotate, and create datasets
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* export, train, and deploy computer vision models
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* use active learning to improve your dataset over time
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For state of the art Computer Vision training notebooks you can use with this dataset,
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visit https://github.com/roboflow/notebooks
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To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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The dataset includes 1311 images.
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Signs are annotated in YOLOv8 format.
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The following pre-processing was applied to each image:
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* Auto-orientation of pixel data (with EXIF-orientation stripping)
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* Resize to 416x416 (Stretch)
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The following augmentation was applied to create 3 versions of each source image:
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* Randomly crop between 0 and 10 percent of the image
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* Random rotation of between -10 and +10 degrees
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* Random brigthness adjustment of between -15 and +15 percent
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* Random exposure adjustment of between -15 and +15 percent
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* Random Gaussian blur of between 0 and 0.75 pixels
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data.yaml
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train: ../train/images
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val: ../valid/images
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test: ../test/images
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nc: 46
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names: ['ANIMALS', 'CONSTRUCTION', 'CYCLES CROSSING', 'DANGER', 'NO ENTRY', 'PEDESTRIAN CROSSING', 'SCHOOL CROSSING', 'SNOW', 'STOP', 'bend left', 'bend right', 'bend', 'give way', 'go left or straight', 'go left', 'go right or straight', 'go right', 'go straight', 'keep left', 'keep right', 'no overtaking (trucks)', 'no overtaking -trucks-', 'no overtaking', 'no traffic both ways', 'no trucks', 'priority at next intersection', 'priority road', 'restriction ends (overtaking (trucks))', 'restriction ends (overtaking)', 'restriction ends -overtaking -trucks--', 'restriction ends -overtaking-', 'restriction ends 80', 'restriction ends', 'road narrows', 'roundabout', 'slippery road', 'speed limit 100', 'speed limit 120', 'speed limit 20', 'speed limit 30', 'speed limit 50', 'speed limit 60', 'speed limit 70', 'speed limit 80', 'traffic signal', 'uneven road']
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roboflow:
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workspace: mohamed-traore-2ekkp
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project: gtsdb---german-traffic-sign-detection-benchmark
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version: 3
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license: CC BY 4.0
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url: https://universe.roboflow.com/mohamed-traore-2ekkp/gtsdb---german-traffic-sign-detection-benchmark/dataset/3
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