Datasets:
Tasks:
Image Classification
Formats:
parquet
Sub-tasks:
multi-label-image-classification
Size:
10K - 100K
License:
Bazyl
commited on
Commit
·
34bd73e
1
Parent(s):
6588dac
update dataset info
Browse files- .gitignore +3 -0
- dataset_infos.json +2 -2
- gtsrb.py +11 -6
- requirements.txt +30 -0
.gitignore
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.env
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Test/
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Train/
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dataset_infos.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ebbf9875e6989bb510fde0ed00fa3bab307a18a3d18ff26277bcaa9190d351e
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size 3249
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gtsrb.py
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# Lint as: python3
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"""GTSRB: German Traffic Sign Recognition Benchmark."""
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-
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import csv
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import pandas as pd
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"Roi.X2": datasets.Value("uint8"),
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"Roi.Y2": datasets.Value("uint8"),
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"ClassId": datasets.Value("uint8"),
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"Path": datasets.
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})
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_URL = "https://github.com/bazylhorsey/gtsrb/archive/refs/tags/0.0.0.tar.gz"
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class GTSRBConfig(datasets.BuilderConfig):
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features=_FEATURES,
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# No default supervised_keys (as we have to pass both question
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# and context as input).
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supervised_keys=
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homepage="https://benchmark.ini.rub.de/gtsrb_news.html",
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citation=_CITATION,
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license="gnu public license",
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)
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def _split_generators(self, dl_manager):
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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"Roi.X2": int(row[4]),
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"Roi.Y2": int(row[5]),
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"ClassId": int(row[6]),
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"Path": row[7],
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}
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# Lint as: python3
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"""GTSRB: German Traffic Sign Recognition Benchmark."""
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import tarfile
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import csv
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import pandas as pd
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"Roi.X2": datasets.Value("uint8"),
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"Roi.Y2": datasets.Value("uint8"),
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"ClassId": datasets.Value("uint8"),
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"Path": datasets.Image("png"),
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})
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_URL = "https://github.com/bazylhorsey/gtsrb/archive/refs/tags/0.0.0.tar.gz"
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# importing the "tarfile" module
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# open file
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# file = tarfile.open("https://github.com/bazylhorsey/gtsrb/archive/refs/tags/0.0.0.tar.gz")
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# file.extractall('temp')
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class GTSRBConfig(datasets.BuilderConfig):
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features=_FEATURES,
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# No default supervised_keys (as we have to pass both question
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# and context as input).
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supervised_keys=["ClassId"],
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homepage="https://benchmark.ini.rub.de/gtsrb_news.html",
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citation=_CITATION,
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license="gnu public license",
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)
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def _split_generators(self, dl_manager):
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files = dl_manager.download_and_extract(_URL)
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print(files)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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"Roi.X2": int(row[4]),
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"Roi.Y2": int(row[5]),
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"ClassId": int(row[6]),
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"Path": str(row[7]),
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}
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requirements.txt
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aiohttp==3.8.1
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aiosignal==1.2.0
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async-timeout==4.0.2
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certifi==2022.6.15
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charset-normalizer==2.0.12
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datasets==2.3.2
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dill==0.3.5.1
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filelock==3.7.1
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frozenlist==1.3.0
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fsspec==2022.5.0
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huggingface-hub==0.8.1
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idna==3.3
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multidict==6.0.2
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multiprocess==0.70.13
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numpy==1.23.0
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packaging==21.3
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pandas==1.4.3
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pyaml==21.10.1
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pyarrow==8.0.0
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pyparsing==3.0.9
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PyYAML==6.0
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requests==2.28.0
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responses==0.18.0
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tqdm==4.64.0
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typing_extensions==4.2.0
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urllib3==1.26.9
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xxhash==3.0.0
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yarl==1.7.2
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--extra-index-url=https://packagecloud.io/github/git-lfs/pypi/simple
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