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LEGO bricks for training classification network

wersja 1.1

Description

The data set contains images of 447 different classes of LEGO bricks used for training LEGO bricks classification network. The dataset contains two types of images: photos (10%) and renders (90%) aggregated into respective directories. Each directory (photos and renders) contains 447 directories labeled as the official brick type number. The images contains only bricks on white background, the renders were augmented randomly so that they resemble the real pictures.

Sample images are presented below. Real photos are on the left side and renders on the right side.

Illustration of the publication
Illustration of the publication
Illustration of the publication
Illustration of the publication

Dataset file

05 - dataset.zip
6.0 GB, S3 ETag e1c9f36e85ffdb0d4c18733d6d73a5bc-13, downloads: 198
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file 05 - dataset.zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
Raw data:
Data contained in dataset was not processed.

Details

Year of publication:
2021
Verification date:
2023-09-14
Dataset language:
English
Fields of science:
  • information and communication technology (Engineering and Technology)
  • computer and information sciences (Natural sciences)
DOI:
DOI ID 10.34808/rcza-jy08 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

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Version this document has several versions

DOI 10.34808/wvms-q810 represents the latest version of the data.

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