| import datasets | |
| from datasets.data_files import DataFilesDict | |
| from datasets.packaged_modules.imagefolder.imagefolder import ImageFolder, ImageFolderConfig | |
| logger = datasets.logging.get_logger(__name__) | |
| class GTSRB(ImageFolder): | |
| R""" | |
| GTSRB dataset for image classification. | |
| """ | |
| BUILDER_CONFIG_CLASS = ImageFolderConfig | |
| BUILDER_CONFIGS = [ | |
| ImageFolderConfig(name='default', features=("images", "labels"), data_files=DataFilesDict({split: f"data/{split}.zip" for split in ["train", "test"] + ["contrast", "gaussian_noise", "impulse_noise", "jpeg_compression", "motion_blur", "pixelate", "spatter"]}),) | |
| ] | |
| classnames = [ | |
| "red and white circle 20 kph speed limit", | |
| "red and white circle 30 kph speed limit", | |
| "red and white circle 50 kph speed limit", | |
| "red and white circle 60 kph speed limit", | |
| "red and white circle 70 kph speed limit", | |
| "red and white circle 80 kph speed limit", | |
| "end / de-restriction of 80 kph speed limit", | |
| "red and white circle 100 kph speed limit", | |
| "red and white circle 120 kph speed limit", | |
| "red and white circle red car and black car no passing", | |
| "red and white circle red truck and black car no passing", | |
| "red and white triangle road intersection warning", | |
| "white and yellow diamond priority road", | |
| "red and white upside down triangle yield right-of-way", | |
| "stop", | |
| "empty red and white circle", | |
| "red and white circle no truck entry", | |
| "red circle with white horizonal stripe no entry", | |
| "red and white triangle with exclamation mark warning", | |
| "red and white triangle with black left curve approaching warning", | |
| "red and white triangle with black right curve approaching warning", | |
| "red and white triangle with black double curve approaching warning", | |
| "red and white triangle rough / bumpy road warning", | |
| "red and white triangle car skidding / slipping warning", | |
| "red and white triangle with merging / narrow lanes warning", | |
| "red and white triangle with person digging / construction / road work warning", | |
| "red and white triangle with traffic light approaching warning", | |
| "red and white triangle with person walking warning", | |
| "red and white triangle with child and person walking warning", | |
| "red and white triangle with bicyle warning", | |
| "red and white triangle with snowflake / ice warning", | |
| "red and white triangle with deer warning", | |
| "white circle with gray strike bar no speed limit", | |
| "blue circle with white right turn arrow mandatory", | |
| "blue circle with white left turn arrow mandatory", | |
| "blue circle with white forward arrow mandatory", | |
| "blue circle with white forward or right turn arrow mandatory", | |
| "blue circle with white forward or left turn arrow mandatory", | |
| "blue circle with white keep right arrow mandatory", | |
| "blue circle with white keep left arrow mandatory", | |
| "blue circle with white arrows indicating a traffic circle", | |
| "white circle with gray strike bar indicating no passing for cars has ended", | |
| "white circle with gray strike bar indicating no passing for trucks has ended", | |
| ] | |
| clip_templates = [ | |
| lambda c: f'a zoomed in photo of a "{c}" traffic sign.', | |
| lambda c: f'a centered photo of a "{c}" traffic sign.', | |
| lambda c: f'a close up photo of a "{c}" traffic sign.', | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description="GTSRB dataset for image classification.", | |
| features=datasets.Features( | |
| { | |
| "image": datasets.Image(), | |
| "label": datasets.ClassLabel(names=self.classnames), | |
| } | |
| ), | |
| supervised_keys=("image", "label"), | |
| task_templates=[datasets.ImageClassification(image_column="image", label_column="label")], | |
| ) | |