Description
The data set conatins tagged images conatining LEGO bricks used for traning LEGO bricks detecting network. The dataset contains frames taken from video recordings of lego bricks moving on a conveyor belt. The images conatin from 0 to 7 bricks. In total there are 5459 tagged lego bricks in 4340 images and 3390 images without any bricks in them. The images are in FullHD resolution (1920x1080) and were taken from videos recorded with a Huawei p20 Pro camera (1920x1080 resolution, H.264 high profile codec, 15 frames per second).
The immages were tagged with coordinates of LEGO bricks bounding boxes. The label are stored in text files named as the image. The label were generated using labeImg software (https://github.com/tzutalin/labelImg) and are stored in YOLO format. The classes names are stored in classes.txt file inside the dataset. The content of the classes.txt file is as follows:
BricksNarrow
BricksSpecial
BricksTechnic
WheelsAndOther
TechnicPins
TechnicAxles
Accessries
Gears
FlagsSigns
BricksWide
Animals
Weapons
Helmetshatshair
Legs
Microfigures
Plants
Headsserptine
Torso
Heads
Guns
Armouredshields
brickswithstudes
plateswithstudes
The images below shows sample screenshots from the labelImg application:
Dataset file
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 BY-NC-SANon-commercial - Share-alike
Details
- Year of publication:
- 2021
- Verification date:
- 2021-03-22
- Dataset language:
- English
- Fields of science:
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- information and communication technology (Engineering and Technology)
- computer and information sciences (Natural sciences)
- DOI:
- DOI ID 10.34808/9knk-3973 open in new tab
- Series:
- Verified by:
- Gdańsk University of Technology
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