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
Tables
Meta
@kaggle.meowmeowmeowmeowmeow_gtsrb_german_traffic_sign.meta
- 4.66 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
- 166.2 kB
- 12,630 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
- 401.11 kB
- 39,209 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
);