Baselight

Road Sign Recognition

road sign recognition for geolocation data mining

@kaggle.michaelcripman_road_sign_recognition

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About this Dataset

Road Sign Recognition

Data
The input data will be given:

Archive with task data;
train.csv - training images annotations;
train_images / - folder with training images;
5_15_2_vocab.json - decoding of the attributes at the 5_15_2 sign.

The annotations contain fields:

filename - path to the signed image;
label - the class label for the sign on the image.
Note!
The characters 3_24, 3_25, 5_15_2, 5_31 and 6_2 have separate attributes. These attributes in the label field are separated by a "+" character, for example, 3_24 + 100. For sign 5_15_2, the attribute is the direction of the arrow, for the remaining signs, the attribute is the numbers on the sign.

Tables

Sample Submission

@kaggle.michaelcripman_road_sign_recognition.sample_submission
  • 231.64 KB
  • 6078 rows
  • 2 columns
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CREATE TABLE sample_submission (
  "filename" VARCHAR,
  "label" VARCHAR
);

Train

@kaggle.michaelcripman_road_sign_recognition.train
  • 1.66 MB
  • 46063 rows
  • 2 columns
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CREATE TABLE train (
  "filename" VARCHAR,
  "label" VARCHAR
);

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