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GTSRB - German Traffic Sign Recognition Benchmark

Multi-class, single-image classification challenge

@kaggle.meowmeowmeowmeowmeow_gtsrb_german_traffic_sign

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About this Dataset

GTSRB - German Traffic Sign Recognition Benchmark

Context

The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011. We cordially invite researchers from relevant fields to participate: The competition is designed to allow for participation without special domain knowledge. Our benchmark has the following properties:

  • Single-image, multi-class classification problem
  • More than 40 classes
  • More than 50,000 images in total
  • Large, lifelike database

Acknowledgements

INI Benchmark Website

Tables

Meta

@kaggle.meowmeowmeowmeowmeow_gtsrb_german_traffic_sign.meta
  • 4.55 KB
  • 43 rows
  • 5 columns
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CREATE TABLE meta (
  "path" VARCHAR,
  "classid" BIGINT,
  "shapeid" BIGINT,
  "colorid" BIGINT,
  "signid" VARCHAR
);

Test

@kaggle.meowmeowmeowmeowmeow_gtsrb_german_traffic_sign.test
  • 162.31 KB
  • 12630 rows
  • 8 columns
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CREATE TABLE test (
  "width" BIGINT,
  "height" BIGINT,
  "roi_x1" BIGINT,
  "roi_y1" BIGINT,
  "roi_x2" BIGINT,
  "roi_y2" BIGINT,
  "classid" BIGINT,
  "path" VARCHAR
);

Train

@kaggle.meowmeowmeowmeowmeow_gtsrb_german_traffic_sign.train
  • 391.7 KB
  • 39209 rows
  • 8 columns
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CREATE TABLE train (
  "width" BIGINT,
  "height" BIGINT,
  "roi_x1" BIGINT,
  "roi_y1" BIGINT,
  "roi_x2" BIGINT,
  "roi_y2" BIGINT,
  "classid" BIGINT,
  "path" VARCHAR
);

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