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.
Dataset file
05 - dataset.zip
6.0 GB,
S3 ETag
e1c9f36e85ffdb0d4c18733d6d73a5bc-13,
downloads: 187
The file hash is calculated from the formula
Example script for calculation:
https://github.com/antespi/s3md5
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
File details
- License:
-
open in new tabCC BYAttribution
- 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
References
Cite as
Authors
Version this document has several versions
-
Current versionversion 1.1release date 2023-09-14
-
version 1.0release date 2021-06-21
DOI
10.34808/wvms-q810
represents the latest version of the data.
seen 691 times