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Description
The set contains videos of LEGO bricks (minifigures, animals, plants and accessories) moving on a white conveyor belt. The images were prepared for training neural network for recognition of LEGO bricks. The bricks were separated as much as possible and in most cases they should not overlap. The images were taken from different sides by stationary camera located over the final conveyor belt.
The videos were recorded using Huawei p20 Pro camera (1920x1080 resolution, H.264 high profile codec, 15 frames per second) located 14.5 cm over the belt. The bricks have random colors. The videos were placed in separate files one for each type of recorded elements.
Sample images are presented below.
The machine used to gather videos. The camera was positioned on the LEGO Duplo structure in the far side.
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 tab
CC BY-NC-SANon-commercial - Share-alike - Raw data:
- Data contained in dataset was not processed.
Details
- Year of publication:
- 2020
- Verification date:
- 2020-12-30
- 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 10.34808/5gwb-5y67 open in new tab
- Series:
- Verified by:
- Gdańsk University of Technology
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