Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-label-image-classification
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
original
Tags:
License:
Bazyl
commited on
Commit
•
7535f34
1
Parent(s):
446bece
update dataset
Browse files- dataset_infos.json +2 -2
- gtsrb.py +3 -5
dataset_infos.json
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@@ -1,3 +1,3 @@
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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 sha256:3e5b24f8456e9215167843b2858caee2bfbd4304f839e4050d88f1f1c092f15b
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+
size 3066
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gtsrb.py
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@@ -15,10 +15,7 @@
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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 tarfile
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import csv
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import pandas as pd
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import datasets
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from datasets import Dataset, DatasetDict
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@@ -76,7 +73,8 @@ _FEATURES = datasets.Features({
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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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@@ -124,7 +122,7 @@ class GTSRB(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(self, dl_manager):
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-
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print("success")
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return [
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datasets.SplitGenerator(
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# Lint as: python3
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"""GTSRB: German Traffic Sign Recognition Benchmark."""
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import csv
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import datasets
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from datasets import Dataset, DatasetDict
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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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"Path": datasets.Value("string"),
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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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)
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def _split_generators(self, dl_manager):
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+
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print("success")
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return [
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datasets.SplitGenerator(
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